text stringlengths 55 456k | metadata dict |
|---|---|
podcastfy package
=================
Subpackages
-----------
.. toctree::
:maxdepth: 4
podcastfy.content_parser
Submodules
----------
podcastfy.client module
-----------------------
.. automodule:: podcastfy.client
:members:
:undoc-members:
:show-inheritance:
podcastfy.content\_generator module
---... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/podcastfy.rst",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/podcastfy.rst",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transforming Mu... |
# Podcastfy REST API Documentation
## Overview
The Podcastfy API allows you to programmatically generate AI podcasts from various input sources. This document outlines the API endpoints and their usage.
## Using cURL with Podcastfy API
### Prerequisites
1. Confirm cURL installation:
```bash
curl --version
```
### ... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/api.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/api.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transforming Mult... |
## CLI
Podcastfy can be used as a command-line interface (CLI) tool. See below some usage examples.
Please make sure you follow configuration instructions first - [See Setup](README.md#setup).
1. Generate a podcast from URLs (using OpenAI TTS by default):
```
python -m podcastfy.client --url https://example.com... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/cli.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/cli.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transforming Mult... |
# Podcastfy Configuration
## API keys
The project uses a combination of a `.env` file for managing API keys and sensitive information, and a `config.yaml` file for non-sensitive configuration settings. Follow these steps to set up your configuration:
1. Create a `.env` file in the root directory of the project.
2. A... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/config.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/config.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transformin... |
# Podcastfy Advanced Configuration Guide
Podcastfy uses a `config.yaml` file to manage various settings and parameters. This guide explains each configuration option available in the file.
## Content Generator
- `gemini_model`: "gemini-1.5-pro-latest"
- The Gemini AI model used for content generation.
- `max_out... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/config_custom copy.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/config_custom copy.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podc... |
# Podcastfy Advanced Configuration Guide
Podcastfy uses a `config.yaml` file to manage various settings and parameters. This guide explains each configuration option available in the file.
## Customizing the Conversation
See [conversation_custom.md](conversation_custom.md) for more details.
## Output Directories
-... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/config_custom.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/config_custom.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast featur... |
# Podcastfy Conversation Configuration
Podcastfy offers a range of customization options to tailor your AI-generated podcasts. This document outlines how you can adjust parameters such as conversation style, word count, and dialogue structure to suit your specific needs.
## Table of Contents
1. [Parameters](#parame... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/conversation_custom.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/conversation_custom.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's po... |
# Docker Setup Guide for Podcastfy
This guide explains how to use Docker to run Podcastfy in your local environment or for development.
## Prerequisites
- Docker installed on your system [1]
- Docker Compose [1]
- API keys [2]
[1] See Appendix A for detailed installation instructions.
[2] See [config.md](https://gi... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/docker.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/docker.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transformin... |
# How to
All assume you have podcastfy installed and running.
## Table of Contents
- [Custom LLM Support](#custom-llm-support)
- [Running Local LLMs](#running-local-llms)
- [How to use your own voice in audio podcasts](#how-to-use-your-own-voice-in-audio-podcasts)
- [How to customize the conversation](#how-to-custom... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/how-to.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/how-to.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transformin... |
Podcastfy is licensed under Apache 2.0. The Apache License 2.0 is a permissive free software license that allows you to use this sotfware for both non-commercial or commercial purposes.
Please review the [License](../LICENSE) in order to know your obligations.
here is a set of steps I will list without any warranty o... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/license-guide.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/license-guide.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast featur... |
# Local LLM Support
Running local LLMs can offer several advantages such as:
- Enhanced privacy and data security
- Cost control and no API rate limits
- Greater customization and fine-tuning options
- Reduced vendor lock-in
We enable serving local LLMs with [llamafile](https://github.com/Mozilla-Ocho/llamafile). In ... | {
"source": "souzatharsis/podcastfy",
"title": "docs/source/usage/local_llm.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/docs/source/usage/local_llm.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Trans... |
Tharsis Souza, PhD Tharsis Souza is a computer scientist passionate about data-driven products. He is Senior Vice President of Product Management, Modeling Engineering at Two Sigma Investments and Lecturer at Columbia University, Faculty member of the MSc. in Applied Analytics program. Prior to Two Sigma, he spent 10+ ... | {
"source": "souzatharsis/podcastfy",
"title": "tests/data/mock/website.md",
"url": "https://github.com/souzatharsis/podcastfy/blob/main/tests/data/mock/website.md",
"date": "2024-09-30T22:35:09",
"stars": 3232,
"description": "An Open Source Python alternative to NotebookLM's podcast feature: Transforming ... |
# NewsNow
English | [简体中文](README.zh-CN.md)
***Elegant reading of real-time and hottest news***
## Features
- Elegant design for a pleasant reading experience, keeping you up-to-date with the latest and hottest news.
- Supports Github login and data sync... | {
"source": "ourongxing/newsnow",
"title": "README.md",
"url": "https://github.com/ourongxing/newsnow/blob/main/README.md",
"date": "2024-09-23T14:16:12",
"stars": 3190,
"description": "Elegant reading of real-time and hottest news",
"file_size": 2840
} |
# NewsNow
[English](./README.md) | 简体中文
***优雅地阅读实时热门新闻***
## 特性
- 优雅的设计，优雅的阅读体验，时刻关注最新最热的新闻。
- 支持 Github 登录，支持数据同步。
- 默认 30 分钟缓存，登录用户可以强制拉取最新数据。但也会根据内容源的更新间隔设置不同的爬虫间隔时间（最快两分钟），节约资源的同时避免频繁爬取而导致 IP 封禁。
## 部署
如果不需要登录，缓存，可以直接部署到 Cloudflare Pages，Vercel 等。... | {
"source": "ourongxing/newsnow",
"title": "README.zh-CN.md",
"url": "https://github.com/ourongxing/newsnow/blob/main/README.zh-CN.md",
"date": "2024-09-23T14:16:12",
"stars": 3190,
"description": "Elegant reading of real-time and hottest news",
"file_size": 1583
} |
# Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, gender... | {
"source": "github/CopilotForXcode",
"title": "CODE_OF_CONDUCT.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/CODE_OF_CONDUCT.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 3230
} |
# Development
## Prerequisites
Requires Node installed and `npm` available on your system path, e.g.
```sh
sudo ln -s `which npm` /usr/local/bin
sudo ln -s `which node` /usr/local/bin
```
For context, this is used by an Xcode run script as part of the build. Run
scripts use a very limited path to resolve commands.
... | {
"source": "github/CopilotForXcode",
"title": "DEVELOPMENT.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/DEVELOPMENT.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 2818
} |
# <img align="center" height="70" src="./Docs/AppIcon.png"/> GitHub Copilot for Xcode
[GitHub Copilot](https://github.com/features/copilot) is an AI pair programmer
tool that helps you write code faster and smarter. Copilot for Xcode is an Xcode extension that provides inline coding suggestions as you type and a chat ... | {
"source": "github/CopilotForXcode",
"title": "README.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/README.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 6548
} |
Thanks for helping make GitHub safe for everyone.
# Security
GitHub takes the security of our software products and services seriously, including all of the open source code repositories managed through our GitHub organizations, such as [GitHub](https://github.com/GitHub).
Even though [open source repositories are o... | {
"source": "github/CopilotForXcode",
"title": "SECURITY.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/SECURITY.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 1743
} |
# Support
## How to get help
We’d love to get your help in making GitHub Copilot better! If you have
feedback or encounter any problems, please reach out on our [Feedback
forum](https://github.com/orgs/community/discussions/categories/copilot).
GitHub Copilot for Xcode is under active development and maintained by... | {
"source": "github/CopilotForXcode",
"title": "SUPPORT.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/SUPPORT.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 869
} |
# Troubleshooting for Copilot for Xcode
If you are having trouble with Copilot for Xcode follow these steps to resolve
common issues:
1. Check for updates and restart Xcode. Ensure that Copilot for Xcode has the
[latest release](https://github.com/github/CopilotForXcode/releases/latest)
by click `Check for Upda... | {
"source": "github/CopilotForXcode",
"title": "TROUBLESHOOTING.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/TROUBLESHOOTING.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 2935
} |
At the moment we are not accepting contributions to the repository. | {
"source": "github/CopilotForXcode",
"title": ".github/pull_request_template.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/.github/pull_request_template.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 67
} |
---
name: Bug report
about: Create a report to help us improve GitHub Copilot for Xcode
---
<!-- Please search existing issues to avoid creating duplicates -->
**Describe the bug**
<!-- A clear and concise description of what the bug is. -->
**Versions**
- Copilot for Xcode: [e.g. 0.25.0]
- Xcode: [e.g. 16.0]
- macO... | {
"source": "github/CopilotForXcode",
"title": ".github/ISSUE_TEMPLATE/bug_report.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/.github/ISSUE_TEMPLATE/bug_report.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size": 617
} |
---
name: Feature request
about: Suggest an idea for GitHub Copilot for Xcode
---
<!-- Please search existing issues to avoid creating duplicates -->
<!-- Describe the feature you'd like. --> | {
"source": "github/CopilotForXcode",
"title": ".github/ISSUE_TEMPLATE/feature_request.md",
"url": "https://github.com/github/CopilotForXcode/blob/main/.github/ISSUE_TEMPLATE/feature_request.md",
"date": "2024-09-19T17:48:15",
"stars": 3185,
"description": "Xcode extension for GitHub Copilot",
"file_size"... |
# Micro Racer Car - StuckAtPrototype
*thank you for the overwhelmingly positve support!! such an inspiration to keep making fun open source content!*
## Youtube Video
A bit of a back-story of how this project came to be.
[](... | {
"source": "StuckAtPrototype/Racer",
"title": "README.md",
"url": "https://github.com/StuckAtPrototype/Racer/blob/master/README.md",
"date": "2024-10-15T03:32:13",
"stars": 3088,
"description": null,
"file_size": 3212
} |
## trainer.py
#### to run, simply call `python trainer.py`
trainer.py is the training algorithm for the neural network embedded within the Racer.
To use, `trainer.py` ensure you have classified data in `color_data.txt`
Here is the format:
```
W (17447) main: Color values - Red: 1822, Green: 2184, Blue: 1762, Clea... | {
"source": "StuckAtPrototype/Racer",
"title": "scripts/README.md",
"url": "https://github.com/StuckAtPrototype/Racer/blob/master/scripts/README.md",
"date": "2024-10-15T03:32:13",
"stars": 3088,
"description": null,
"file_size": 890
} |
<div align="center">
# SkyThought
[](https://github.com/NovaSky-AI/SkyThought) [![Twitter](https://img.shields.io/badge/NovaSky-white?style=for-the-badge&logo=X&logoColor=000&color=000&labelColor=whi... | {
"source": "NovaSky-AI/SkyThought",
"title": "README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 10427
} |
# Sky-T1-7B
For a detailed training recipes and technical details, refer to the [blog](https://novasky-ai.github.io/posts/sky-t1-7b/)
## SFT: Step 1 and Step 3 SFT
### Distillation Data Mixture
Make sure you have installed the `skythought` package as outlined in the [README.md](/README.md#usage). All the data curation... | {
"source": "NovaSky-AI/SkyThought",
"title": "recipes/sky-t1-7b/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/recipes/sky-t1-7b/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 2903
} |
# Sky-T1-32B-Flash
[Model](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Flash) | [Dataset](https://huggingface.co/datasets/NovaSky-AI/Sky-T1_preference_data_10k) | [Blog](https://novasky-ai.github.io/posts/reduce-overthinking/)
For a detailed breakdown of the duration curation steps and training methodology, refer to... | {
"source": "NovaSky-AI/SkyThought",
"title": "recipes/sky-t1-flash/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/recipes/sky-t1-flash/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 3302
... |
# Sky-T1-32B-Preview
[Model](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Preview) | [Dataset](https://huggingface.co/datasets/NovaSky-AI/Sky-T1_data_17k) | [Blog](https://novasky-ai.github.io/posts/sky-t1/)
Give below are the instructions to replicate the data preprocessing and training steps for Sky-T1-32B-Preview... | {
"source": "NovaSky-AI/SkyThought",
"title": "recipes/sky-t1-preview/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/recipes/sky-t1-preview/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 4... |
# Skythought-evals: Data Generation and Evaluation Tools
## Requirements
Make sure you have installed the `skythought` package as outlined in the [README.md](/README.md#usage).
For running OpenAI model, export the OpenAI key.
```shell
export OPENAI_API_KEY={openai_api_key}
```
## Generation and Evaluation
### B... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/evals/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/evals/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 5294
} |
# Reproducing results on non-reasoning benchmarks
For the full set of results, see [here](./README.md#results-on-qa-and-instruction-following-benchmarks).
## Installation instructions
1. For `lm_eval`, install the package by executing the following :
```bash
git clone https://github.com/EleutherAI/lm-evaluation-h... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/evals/base_instruct_evals.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/evals/base_instruct_evals.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
... |
### Install veRL:
1. Create a conda environment:
```bash
conda create -n verl python==3.9
conda activate verl
pip install -r requirements.txt
```
2. Install common dependencies (required for all backends)
```bash
pip3 install vllm==0.6.3 # or you can install 0.5.4, 0.4.2 and 0.3.1
pip3 install ray
# flash attention... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size... |
# S*: Test Time Scaling for Code Generation ####
This folder provides the code for the paper "S*: Test Time Scaling for Code Generation".
## Installation (Main packages)
```dspy=2.6.2, torch, vllm```
## Usage
The scripts to reproduce the results in the paper are in the ... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/test-time-scaling/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/test-time-scaling/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"f... |
## Training
We use a fork from [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) to perform training.
Step 1: Please add the data path produced by the tools directory or the one we provide, to the file_name field of Sky-T1 entry in [LLaMA-Factory/data/dataset_info.json](./LLaMA-Factory/data/dataset_info.json).... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
"file_size": 657
} |
# Labeled NUMINA Difficulty Data
We also include data of labeled difficulty from NUMINA, in the following files: `labeled_amc_aime_0_-1.json`, `labeled_math_0_-1.json`, `labeled_olympiads_0_-1.json`. These files can be found and downloaded from [HuggingFace](https://huggingface.co/datasets/NovaSky-AI/labeled_numina_d... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/evals/labeled_numina_difficulty/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/evals/labeled_numina_difficulty/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 prev... |
# veRL documents
## Build the docs
```bash
# Install dependencies.
pip install -r requirements-docs.txt
# Build the docs.
make clean
make html
```
## Open the docs with your browser
```bash
python -m http.server -d _build/html/
```
Launch your browser and open localhost:8000. | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
... |
Welcome to veRL's documentation!
================================================
.. _hf_arxiv: https://arxiv.org/pdf/2409.19256
veRL is a flexible, efficient and production-ready RL training framework designed for large language models (LLMs) post-training. It is an open source implementation of the `HybridFlow <hf_... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/index.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/index.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
... |
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
[](LICENSE)
[![GitHub last commit](https://img.shiel... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $450",
... |
[](https://github.com/hiyouga/LLaMA-Factory/stargazers)
[](LICENSE)
[![GitHub last commit](https://img.shiel... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/README_zh.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/README_zh.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model within $... |
Extend to other RL(HF) algorithms
=================================
We already implemented the complete training pipeline of the PPO
algorithms. To extend to other algorithms, we analyze the high-level
principle to use veRL and provide a tutorial to implement the DPO
algorithm. Users can follow the similar paradigm to... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/advance/dpo_extension.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/advance/dpo_extension.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O... |
Add models to FSDP backend
===========================
Model
--------------------------
In principle, our FSDP backend can support any HF model and we can
sychronoize the actor model weight with vLLM using `hf_weight_loader.py <https://github.com/volcengine/verl/blob/main/verl/third_party/vllm/vllm_v_0_5_4/hf_weight_... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/advance/fsdp_extension.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/advance/fsdp_extension.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own... |
Add models to Megatron-LM backend
===================================
Model
-----------
The most challenging aspect to use Megatron-LM backend is implementing
the models for training. Currently, we implement Llama model that
support data parallelism, tensor parallelism, pipeline parallelism (also
vPP) and sequence pa... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/advance/megatron_extension.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/advance/megatron_extension.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train ... |
Ray API Design Tutorial
=======================================
We provide a tutorial for our Ray API design, including:
- Ray basic concepts
- Resource Pool and RayWorkerGroup
- Data Dispatch, Execution and Collection
- Initialize the RayWorkerGroup and execute the distributed computation in the given Resource Pool
... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/advance/placement.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/advance/placement.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 previe... |
.. _config-explain-page:
Config Explaination
===================
ppo_trainer.yaml for FSDP Backend
---------------------------------
Data
~~~~
.. code:: yaml
data:
tokenizer: null
train_files: ~/data/rlhf/gsm8k/train.parquet
val_files: ~/data/rlhf/gsm8k/test.parquet
prompt_key: prompt
m... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/examples/config.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/examples/config.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview mo... |
GSM8K Example
=============
Introduction
------------
In this example, we train an LLM to tackle the GSM8k task.
Paper: https://arxiv.org/pdf/2110.14168
Dataset: https://huggingface.co/datasets/gsm8k
Note that the original paper mainly focuses on training a verifier (a
reward model) to solve math problems via Best... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/examples/gsm8k_example.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/examples/gsm8k_example.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own... |
PPO Example Architecture
========================
Let's start with the Proximal Policy Optimization algorithm, which is
most widely used algorithm in LLM post-training.
The main entry point of the PPO algorithm example is:
`main_ppo.py <https://github.com/volcengine/verl/blob/main/verl/trainer/main_ppo.py>`_.
In this... | {
"source": "NovaSky-AI/SkyThought",
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"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/examples/ppo_code_architecture.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1... |
.. _algo-baseline-page:
Algorithm Baselines
===================
GSM8k
------------------
Assuming GSM8k dataset is preprocess via ``python3 examples/data_preprocess/gsm8k.py``
Refer to the table below to reproduce PPO training from different pre-trained models.
.. _Huggingface: https://huggingface.co/google/gemma... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/experiment/ppo.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/experiment/ppo.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview mode... |
Prepare Data (Parquet) for Post-Training
========================================
Before starting the post-training job, we need to prepare the data for
the policy training. The data should be stored in the parquet format.
We provide several data preprocess scripts for different datasets,
including GSM8K, MATH, Hello... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/preparation/prepare_data.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/preparation/prepare_data.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your... |
Implement Reward Function for Dataset
======================================
For each dataset, we need to implement a reward function or utilize a reward model to compute the rewards for the generated responses.
We already pre-implemented some reward functions in `reward_score directory <https://github.com/volcengine/... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/preparation/reward_function.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/preparation/reward_function.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Trai... |
Installation
============
To install the veRL, we recommend using conda:
.. code:: bash
conda create -n verl python==3.9
conda activate verl
For installing the latest version of veRL, the best way is to clone and
install it from source. Then you can modify our code to customize your
own post-training jobs.
.... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/start/install.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/start/install.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model ... |
.. _quickstart:
=========================================================
Quickstart: Post-train a LLM using PPO with GSM8K dataset
=========================================================
Post-train a LLM using GSM8K dataset
===================================================================
Introduction
---------... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/start/quickstart.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/start/quickstart.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview ... |
PyTorch FSDP Backend
======================
We support PyTorch FSDP Backend by implementing various workers for
actor, critic, reference, rollout and reward models. We also implement
the ``FSDPVLLMShardingManager`` that reshard weight between FSDP and
vLLM in `fsdp_vllm.py <https://github.com/volcengine/verl/blob/main... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/workers/fsdp_workers.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/workers/fsdp_workers.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 ... |
Megatron-LM Backend
=====================
We support Megatron Backend by implementing various workers for actor,
critic, reference, rollout and reward models. We also implement the
``3DHybridEngine`` using Megatron-LM and vLLM in `megatron_vllm.py <https://github.com/volcengine/verl/blob/main/verl/trainer/ppo/hybrid_e... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/workers/megatron_workers.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/workers/megatron_workers.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your... |
PPO Ray Trainer
===============
We implement the RayPPOTrainer, which is a trainer runs on the driver
process on a single CPU/GPU node (default is CPU).
The PPORayTrainer include 3 core functions for data preparation,
WorkerGroup initialization and PPO training loop.
Data Preparation
----------------
The ``PPORayTr... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/docs/workers/ray_trainer.rst",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/docs/workers/ray_trainer.rst",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 pr... |
# Split Placement Example
Here we introduce how to run the naive implementation of the split placement of PPO algorithm.
We will release the complete version of flexible placement in the near future.
For quickstart, you can only follow Step 2 to modify the code and then follow Step 4 to execute the split placement ex... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/examples/split_placement/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/examples/split_placement/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train yo... |
# Models
Common modelzoo such as huggingface/transformers stuggles when using Pytorch native model parallelism. Following the design principle of vLLM, we keep a simple, parallelizable, highly-optimized with packed inputs in verl.
## Adding a New Huggingface Model
### Step 1: Copy the model file from HF to verl
- Add ... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/verl/models/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/verl/models/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model wi... |
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/.github/CODE_OF_CONDUCT.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/.github/CODE_OF_CONDUCT.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your o... |
# Contributing to LLaMA Factory
Everyone is welcome to contribute, and we value everybody's contribution. Code contributions are not the only way to help the community. Answering questions, helping others, and improving the documentation are also immensely valuable.
It also helps us if you spread the word! Reference ... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/.github/CONTRIBUTING.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/.github/CONTRIBUTING.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 ... |
# What does this PR do?
Fixes # (issue)
## Before submitting
- [ ] Did you read the [contributor guideline](https://github.com/hiyouga/LLaMA-Factory/blob/main/.github/CONTRIBUTING.md)?
- [ ] Did you write any new necessary tests? | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/.github/PULL_REQUEST_TEMPLATE.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/.github/PULL_REQUEST_TEMPLATE.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: ... |
# Reporting Security Issues
To report a security issue, please use the GitHub Security Advisory ["Report a Vulnerability"](https://github.com/hiyouga/LLaMA-Factory/security/advisories/new) tab.
We will send a response indicating the next steps in handling your report. After the initial reply to your report, the secur... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/.github/SECURITY.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/.github/SECURITY.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview ... |
The [dataset_info.json](dataset_info.json) contains all available datasets. If you are using a custom dataset, please **make sure** to add a *dataset description* in `dataset_info.json` and specify `dataset: dataset_name` before training to use it.
Currently we support datasets in **alpaca** and **sharegpt** format.
... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/data/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/data/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview model with... |
[dataset_info.json](dataset_info.json) 包含了所有可用的数据集。如果您希望使用自定义数据集，请**务必**在 `dataset_info.json` 文件中添加*数据集描述*，并通过修改 `dataset: 数据集名称` 配置来使用数据集。
目前我们支持 **alpaca** 格式和 **sharegpt** 格式的数据集。
```json
"数据集名称": {
"hf_hub_url": "Hugging Face 的数据集仓库地址（若指定，则忽略 script_url 和 file_name）",
"ms_hub_url": "ModelScope 的数据集仓库地址（若指定，则忽... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/data/README_zh.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/data/README_zh.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview mode... |
We provide diverse examples about fine-tuning LLMs.
Make sure to execute these commands in the `LLaMA-Factory` directory.
## Table of Contents
- [LoRA Fine-Tuning](#lora-fine-tuning)
- [QLoRA Fine-Tuning](#qlora-fine-tuning)
- [Full-Parameter Fine-Tuning](#full-parameter-fine-tuning)
- [Merging LoRA Adapters and Qua... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/examples/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/examples/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 preview mo... |
我们提供了多样化的大模型微调示例脚本。
请确保在 `LLaMA-Factory` 目录下执行下述命令。
## 目录
- [LoRA 微调](#lora-微调)
- [QLoRA 微调](#qlora-微调)
- [全参数微调](#全参数微调)
- [合并 LoRA 适配器与模型量化](#合并-lora-适配器与模型量化)
- [推理 LoRA 模型](#推理-lora-模型)
- [杂项](#杂项)
使用 `CUDA_VISIBLE_DEVICES`（GPU）或 `ASCEND_RT_VISIBLE_DEVICES`（NPU）选择计算设备。
LLaMA-Factory 默认使用所有可见的计算设备。
## 示例
### ... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/train/LLaMA-Factory/examples/README_zh.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/train/LLaMA-Factory/examples/README_zh.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 prev... |
# Detached Worker
## How to run (Only on a single node)
- Start a local ray cluster:
```bash
ray start --head --port=6379
```
- Run the server
```bash
python3 server.py
```
- On another terminal, Run the client
```bash
python3 client.py
``` | {
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"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/tests/ray/detached_worker/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train ... |
# Dataset Format
## RLHF dataset
We combine all the data sources into a single parquet files. We directly organize the prompt into the chat format so that multi-turn chats can be easily incorporated. In the prompt, we may add instruction following texts to guide the model output the answers in a particular format so th... | {
"source": "NovaSky-AI/SkyThought",
"title": "skythought/skythought-rl/verl/utils/dataset/README.md",
"url": "https://github.com/NovaSky-AI/SkyThought/blob/main/skythought/skythought-rl/verl/utils/dataset/README.md",
"date": "2025-01-09T21:37:37",
"stars": 2978,
"description": "Sky-T1: Train your own O1 pr... |
<div align="center">
# Simple Reinforcement Learning for Reasoning
[](https://hkust-nlp.notion.site/simplerl-reason) [![Hugging Face](https://img.shields.io/badge/SimpleRL-fcd022?style=for-the-badge&logo=Huggin... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "README.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/README.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data",
"file... |
### Requirements
You can install the required packages with the following command:
```bash
cd latex2sympy
pip install -e .
cd ..
pip install -r requirements.txt
pip install vllm==0.5.1 --no-build-isolation
pip install transformers==4.42.3
```
### Evaluation
You can evaluate Qwen2.5/Qwen2-Math-Instruct series model wi... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "eval/README.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/eval/README.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data... |
<div align="center">
<img alt="OpenRLHF logo" src="./docs/logo.png" style="height: 140px;" />
</div>
<div align="center">
<p align="center">
<a href="https://github.com/OpenRLHF/OpenRLHF/graphs/contributors">
<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/OpenRLHF/OpenR... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "train/README.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/train/README.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited da... |
<div align="center">
<p align="center">
<img alt="" src="./docs/logo.png" style="display: inline-block; height: 140px" />
</p>
</div>
<div align="center">
<p align="center">
<a href="https://github.com/OpenRLHF/OpenRLHF/graphs/contributors">
<img alt="GitHub Contributors" src="https://img.shields.io/gith... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "train/README_zh.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/train/README_zh.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limi... |
# [latex2sympy2](https://github.com/OrangeX4/latex2sympy)
## About
`latex2sympy2` parses **LaTeX math expressions** and converts it into the equivalent **SymPy form**. The latex2sympy2 is adapted from [augustt198/latex2sympy](https://github.com/a... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "eval/latex2sympy/README.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/eval/latex2sympy/README.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small ... |
### Training settings
* Base model: LLaMA2 7B
* SFT dataset: Ocra 500k
* RM datasets: Anthropic HH, LMSys, OASST, WebGPT ~ 240K+
* PPO prompts: alpaca, Anthropic HH, OASST ~ 100K
### Question: Please introduce the game GTA5
**SFT**
Human: Please introduce the game GTA5
Assistant: GTA5, or Grand Theft Auto V, is an... | {
"source": "hkust-nlp/simpleRL-reason",
"title": "train/docs/ppo_examples.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/train/docs/ppo_examples.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small ... |
MIT OpenCourseWare:
- Solving Quantitative Reasoning Problems with Language Models. https://openreview.net/forum?id=IFXTZERXdM7 | {
"source": "hkust-nlp/simpleRL-reason",
"title": "eval/data/minerva_math/README.md",
"url": "https://github.com/hkust-nlp/simpleRL-reason/blob/main/eval/data/minerva_math/README.md",
"date": "2025-01-25T07:16:58",
"stars": 2958,
"description": "This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 traini... |
# Code of Conduct - Fast GraphRAG
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to make participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex character... | {
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"title": "CODE_OF_CONDUCT.md",
"url": "https://github.com/circlemind-ai/fast-graphrag/blob/main/CODE_OF_CONDUCT.md",
"date": "2024-10-30T18:05:08",
"stars": 2954,
"description": "RAG that intelligently adapts to your use case, data, and queries",
"file_size": 310... |
<!-- omit in toc -->
# Contributing to Fast GraphRAG
First off, thanks for taking the time to contribute! ❤️
All types of contributions are encouraged and valued. See the [Table of Contents](#table-of-contents) for different ways to help and details about how this project handles them. Please make sure to read the re... | {
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<h1 align="center">
<img width="800" src="banner.png" alt="circlemind fast-graphrag">
</h1>
<h4 align="center">
<a href="https://github.com/circlemind-ai/fast-graphrag/blob/main/LICENSE">
<img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="fast-graphrag is released under the MIT license." alt="Fas... | {
"source": "circlemind-ai/fast-graphrag",
"title": "README.md",
"url": "https://github.com/circlemind-ai/fast-graphrag/blob/main/README.md",
"date": "2024-10-30T18:05:08",
"stars": 2954,
"description": "RAG that intelligently adapts to your use case, data, and queries",
"file_size": 6923
} |
## Benchmarks
We validate the benchmark results provided in [HippoRAG](https://arxiv.org/abs/2405.14831), as well as comparing with other methods:
- NaiveRAG (vector dbs) using the OpenAI embedder `text-embedding-3-small`
- [LightRAG](https://github.com/HKUDS/LightRAG)
- [GraphRAG](https://github.com/gusye1234/nano-gr... | {
"source": "circlemind-ai/fast-graphrag",
"title": "benchmarks/README.md",
"url": "https://github.com/circlemind-ai/fast-graphrag/blob/main/benchmarks/README.md",
"date": "2024-10-30T18:05:08",
"stars": 2954,
"description": "RAG that intelligently adapts to your use case, data, and queries",
"file_size":... |
---
name: "\U0001F41E Bug report"
about: Create a report to help us improve
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
**Expe... | {
"source": "circlemind-ai/fast-graphrag",
"title": ".github/ISSUE_TEMPLATE/🐞-bug-report.md",
"url": "https://github.com/circlemind-ai/fast-graphrag/blob/main/.github/ISSUE_TEMPLATE/🐞-bug-report.md",
"date": "2024-10-30T18:05:08",
"stars": 2954,
"description": "RAG that intelligently adapts to your use ca... |
---
name: "\U0001F4A1 Feature request"
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A ... | {
"source": "circlemind-ai/fast-graphrag",
"title": ".github/ISSUE_TEMPLATE/💡-feature-request.md",
"url": "https://github.com/circlemind-ai/fast-graphrag/blob/main/.github/ISSUE_TEMPLATE/💡-feature-request.md",
"date": "2024-10-30T18:05:08",
"stars": 2954,
"description": "RAG that intelligently adapts to y... |
# OpenAI Realtime Console
This is an example application showing how to use the [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime) with [WebRTC](https://platform.openai.com/docs/guides/realtime-webrtc).
## Installation and usage
Before you begin, you'll need an OpenAI API key - [create one in th... | {
"source": "openai/openai-realtime-console",
"title": "README.md",
"url": "https://github.com/openai/openai-realtime-console/blob/main/README.md",
"date": "2024-09-30T19:00:38",
"stars": 2939,
"description": "React app for inspecting, building and debugging with the Realtime API",
"file_size": 1778
} |
# Mochi 1
[Blog](https://www.genmo.ai/blog) | [Hugging Face](https://huggingface.co/genmo/mochi-1-preview) | [Playground](https://www.genmo.ai/play) | [Careers](https://jobs.ashbyhq.com/genmo)
A state of the art video generation model by [Genmo](https://genmo.ai).
https://github.com/user-attachments/assets/4d268d02-9... | {
"source": "genmoai/mochi",
"title": "README.md",
"url": "https://github.com/genmoai/mochi/blob/main/README.md",
"date": "2024-09-11T02:55:33",
"stars": 2935,
"description": "The best OSS video generation models",
"file_size": 7711
} |
# Mochi Community Contributions
`mochi/contrib` contains community contributed pipelines for running and customizing Mochi.
## Index:
- `mochi/contrib/modal` - [Script](contrib/modal/readme.md) for fine-tuning Mochi on Modal GPUs. | {
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"title": "contrib/README.md",
"url": "https://github.com/genmoai/mochi/blob/main/contrib/README.md",
"date": "2024-09-11T02:55:33",
"stars": 2935,
"description": "The best OSS video generation models",
"file_size": 233
} |
## Finetuning Mochi with LoRA on Modal
This example demonstrates how to run the Mochi finetuner on Modal GPUs.
### Setup
Install [Modal](https://modal.com/docs/guide).
```bash
pip install modal
modal setup
```
### Fetch the dataset
There is a labeled dataset for a dissolving visual effect available on Google Drive. ... | {
"source": "genmoai/mochi",
"title": "contrib/modal/readme.md",
"url": "https://github.com/genmoai/mochi/blob/main/contrib/modal/readme.md",
"date": "2024-09-11T02:55:33",
"stars": 2935,
"description": "The best OSS video generation models",
"file_size": 2001
} |
# Mochi 1 LoRA Fine-tuner
This folder contains tools for fine-tuning the Mochi 1 model. It supports [LoRA](https://arxiv.org/abs/2106.09685) fine-tuning on a single GPU.
## Quick Start (Single GPU)
This shows you how to prepare your dataset for single GPU.
First... | {
"source": "genmoai/mochi",
"title": "demos/fine_tuner/README.md",
"url": "https://github.com/genmoai/mochi/blob/main/demos/fine_tuner/README.md",
"date": "2024-09-11T02:55:33",
"stars": 2935,
"description": "The best OSS video generation models",
"file_size": 5568
} |
# AI Engineering Hub 🚀
Welcome to the **AI Engineering Hub**!
## 🌟 Why This Repo?
AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find:
- In-depth tutorials on **LLMs and RAGs**
- Real-world **AI agent** applications
- Example... | {
"source": "patchy631/ai-engineering-hub",
"title": "README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1622
} |
# Build a reasoning model like DeepSeek-R1
This project implements building a reasoning model like DeepSeek-R1 using Unsloth.
---
## Setup and installations
**Install Dependencies**:
Ensure you have Python 3.11 or later installed.
```bash
pip install unsloth vllm
```
---
## 📬 Stay Updated with Our New... | {
"source": "patchy631/ai-engineering-hub",
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"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/Build-reasoning-model/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 856
} |
# DeepSeek Finetuning
This project fine-tunes DeepSeek (distilled Llama variant) using Unsloth and Ollama.
---
## Setup and installations
**Setup Ollama**:
```bash
# setup ollama on linux
curl -fsSL https://ollama.com/install.sh | sh
```
**Install Dependencies**:
Ensure you have Python 3.11 or late... | {
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"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/DeepSeek-finetuning/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 954
} |
# LaTeX-OCR
This project leverages Llama 3.2 vision and Streamlit to create a LaTeX OCR app that converts images of LaTeX equations to LaTeX code.
## Demo Video
Click below to watch the demo video of the AI Assistant in action:
[Watch the video](LaTeX-OCR.mp4)
## Installation and setup
**Setup Ollama**:
*On L... | {
"source": "patchy631/ai-engineering-hub",
"title": "LaTeX-OCR-with-Llama/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/LaTeX-OCR-with-Llama/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1477
} |
# Convert ANY website into an API using Firecrawl
This project lets you convert ANY website into an API using Firecrawl.
- [Firecrawl](https://www.firecrawl.dev/i/api) is used to scrape websites.
- Streamlit is used to create a web interface for the project.
---
## Setup and installations
**Get Firecrawl API Key**:... | {
"source": "patchy631/ai-engineering-hub",
"title": "Website-to-API-with-FireCrawl/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/Website-to-API-with-FireCrawl/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1400
} |
# YouTube Trend Analysis with CrewAI and BrightData
This project implements a YouTube Trend Analysis with CrewAI and BrightData.
- [Bright Data](https://brdta.com/dailydoseofds) is used to scrape YouTube videos.
- CrewAI is used to analyze the transcripts of the videos and generate a summary.
- Streamlit is used to cr... | {
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"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/Youtube-trend-analysis/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1686
} |
# Agentic RAG using CrewAI
This project leverages CrewAI to build an Agentic RAG that can search through your docs and fallbacks to web search in case it doesn't find the answer in the docs, have option to use either of deep-seek-r1 or llama 3.2 that runs locally. More details un Running the app section below!
Before... | {
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"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/agentic_rag/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1651
} |
# Enterprise-grade, agentic RAG over complex real-world docs
The project uses EyelevelAI's state of the art document parsing and retrieval system GroundX. It's integrated as a custom tool with CrewAI.
Before you start, quickly test it on your own document [here](https://dashboard.eyelevel.ai/xray)
GroundX can also b... | {
"source": "patchy631/ai-engineering-hub",
"title": "agentic_rag_deepseek/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/agentic_rag_deepseek/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1766
} |
# AI News generator
This project leverages CrewAI and Cohere's Command-R:7B model to build an AI news generator!
## Installation and setup
**Get API Keys**:
- [Serper API Key](https://serper.dev/)
- [Cohere API Key](https://dashboard.cohere.com/api-keys)
**Install Dependencies**:
Ensure you have Python 3.... | {
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"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/ai_news_generator/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 969
} |
# Coding and Stock Analyst
This project leverages Microsoft's AutoGen to build an advanced Coding and Stock Analyst. The solution is powered by Qualcomm's **Cloud AI 100 Ultra**, enabling high-performance LLM serving. Explore the [Qualcomm Cloud AI 100 Ultra Playground](http://bit.ly/Qualcomm-CloudAI100Ultra-Playgroun... | {
"source": "patchy631/ai-engineering-hub",
"title": "autogen-stock-analyst/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/autogen-stock-analyst/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 957
} |
# Content writing agentic-workflow
This project leverages CrewAI Flow to scrape a website, prepare a social post and publish it, powered by a locally running Llama 3.2!
### Watch Demo on YouTube
[![Watch Demo on YouTube](https://github.com/patchy631/ai-engineering-hub/blob/main/content_planner_flow/resources/thumbnai... | {
"source": "patchy631/ai-engineering-hub",
"title": "content_planner_flow/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/content_planner_flow/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1265
} |
# MultiModal RAG with DeepSeek-Janus-Pro
This project implements a MultiModal RAG with DeepSeek's latest model Janus-Pro.
We use the following tools
- DeepSeek-Janus-Pro as the multi-modal LLM
- ColPali as the vision encoder
- Qdrant as the vector database
- Streamlit as the web interface
## Demo
A demo of the proj... | {
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"title": "deepseek-multimodal-RAG/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/deepseek-multimodal-RAG/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1351
} |
# Local ChatGPT with thinking UI
This project leverages DeepSeek-R1 and Streamlit to create a 100% locally running mini-ChatGPT app.
## Installation and setup
**Setup Ollama**:
```bash
# setup ollama on linux
curl -fsSL https://ollama.com/install.sh | sh
# pull the DeepSeek-R1 model
ollama pull deeps... | {
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"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1138
} |
<a target="_blank" href="https://lightning.ai/akshay-ddods/studios/rag-using-llama-3-3-by-meta-ai">
<img src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/app-2/studio-badge.svg" alt="Open In Studio"/>
</a>
# LLama3.3-RAG application
This project leverages a locally Llama 3.3 to build a RAG application to... | {
"source": "patchy631/ai-engineering-hub",
"title": "document-chat-rag/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/document-chat-rag/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1652
} |
# Evaluation and Observability for AI Apps
This project leverages [CometML Opik](https://github.com/comet-ml/opik) to build an e2e evaluation and observability pipeline for a RAG application.
## Installation and setup
**Get API Keys**:
- [Opik API Key](https://www.comet.com/signup)
- [Open AI API Key](https... | {
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"title": "eval-and-observability/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/eval-and-observability/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1189
} |
# LLama3.3-RAG application
This project build the fastest stack to build a RAG application to **chat with your docs**.
We use:
- SambaNova as the inference engine for Llama 3.3.
- Llama index for orchestrating the RAG app.
- Qdrant VectorDB for storing the embeddings.
- Streamlit to build the UI.
## Installation and ... | {
"source": "patchy631/ai-engineering-hub",
"title": "fastest-rag-stack/README.md",
"url": "https://github.com/patchy631/ai-engineering-hub/blob/main/fastest-rag-stack/README.md",
"date": "2024-10-21T10:43:24",
"stars": 2930,
"description": null,
"file_size": 1540
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