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<h1 style="text-align: center;">verl: Volcano Engine Reinforcement Learning for LLM</h1>
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs).
verl is the open-source version of **[HybridFlow: A Flexible and Efficient RLHF Framework](https://arxiv.org/abs/2409.19256v... | {
"source": "volcengine/verl",
"title": "README.md",
"url": "https://github.com/volcengine/verl/blob/main/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 10277
} |
# 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": "volcengine/verl",
"title": "docs/README.md",
"url": "https://github.com/volcengine/verl/blob/main/docs/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 281
} |
# Readme for verl(vllm>=0.7) version
## Installation
Note: This version of veRL supports **FSDP** for training and **vLLM** for rollout. (Megatron-LM is not supported yet.)
```
# Create the conda environment
conda create -n verl python==3.10
conda activate verl
# Install verl
git clone https://github.com/volcengine... | {
"source": "volcengine/verl",
"title": "docs/README_vllm0.7.md",
"url": "https://github.com/volcengine/verl/blob/main/docs/README_vllm0.7.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 2724
} |
=========================================================
HybridFlow Programming Guide
=========================================================
.. _vermouth: https://github.com/vermouth1992
Author: `Chi Zhang <https://github.com/vermouth1992>`_
verl is an open source implementation of the paper `HybridFlow <https:/... | {
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"title": "docs/hybrid_flow.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/hybrid_flow.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 15523
} |
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": "volcengine/verl",
"title": "docs/index.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/index.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 3426
} |
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": "volcengine/verl",
"title": "docs/advance/dpo_extension.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/advance/dpo_extension.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 9676
} |
Add models with the 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_6... | {
"source": "volcengine/verl",
"title": "docs/advance/fsdp_extension.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/advance/fsdp_extension.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 4399
} |
Add models with the Megatron-LM backend
=========================================
Model
-----------
The most challenging aspect to use the Megatron-LM backend is implementing
the models for training. Currently, we implement Llama model that
support data parallelism, tensor parallelism, pipeline parallelism (also
vPP)... | {
"source": "volcengine/verl",
"title": "docs/advance/megatron_extension.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/advance/megatron_extension.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 1688
} |
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": "volcengine/verl",
"title": "docs/advance/placement.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/advance/placement.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 429
} |
.. _config-explain-page:
Config Explanation
===================
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
ma... | {
"source": "volcengine/verl",
"title": "docs/examples/config.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/examples/config.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 14782
} |
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": "volcengine/verl",
"title": "docs/examples/gsm8k_example.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/examples/gsm8k_example.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 5986
} |
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... | {
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"title": "docs/examples/ppo_code_architecture.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/examples/ppo_code_architecture.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size"... |
.. _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": "volcengine/verl",
"title": "docs/experiment/ppo.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/experiment/ppo.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 4971
} |
Frequently Asked Questions
====================================
Ray related
------------
How to add breakpoint for debugging with distributed Ray?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Please checkout the official debu... | {
"source": "volcengine/verl",
"title": "docs/faq/faq.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/faq/faq.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 2997
} |
Performance Tuning Guide
==============================
Author: `Guangming Sheng <https://github.com/PeterSH6>`_
In this section, we will discuss how to tune the performance of all the stages in verl, including:
1. Rollout generation throughput.
2. Enable `use_remove_padding=True` for sequence packing (i.e., data p... | {
"source": "volcengine/verl",
"title": "docs/perf/perf_tuning.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/perf/perf_tuning.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 9080
} |
Prepare Data 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, HelloSwag, Full... | {
"source": "volcengine/verl",
"title": "docs/preparation/prepare_data.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/preparation/prepare_data.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 4325
} |
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": "volcengine/verl",
"title": "docs/preparation/reward_function.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/preparation/reward_function.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 2605... |
Installation
============
Requirements
------------
- **Python**: Version >= 3.9
- **CUDA**: Version >= 12.1
verl supports various backends. Currently, the following configurations are available:
- **FSDP** and **Megatron-LM** (optional) for training.
- **vLLM** adn **TGI** for rollout generation, **SGLang** suppor... | {
"source": "volcengine/verl",
"title": "docs/start/install.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/start/install.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 3772
} |
.. _quickstart:
=========================================================
Quickstart: PPO training on GSM8K dataset
=========================================================
Post-train a LLM using GSM8K dataset.
Introduction
------------
.. _hf_dataset_gsm8k: https://huggingface.co/datasets/gsm8k
In this example, ... | {
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"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 7750
} |
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": "volcengine/verl",
"title": "docs/workers/fsdp_workers.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/workers/fsdp_workers.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 4149
} |
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/workers/sharding_man... | {
"source": "volcengine/verl",
"title": "docs/workers/megatron_workers.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/workers/megatron_workers.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 7464
} |
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": "volcengine/verl",
"title": "docs/workers/ray_trainer.rst",
"url": "https://github.com/volcengine/verl/blob/main/docs/workers/ray_trainer.rst",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 12035
} |
# 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": "volcengine/verl",
"title": "examples/split_placement/README.md",
"url": "https://github.com/volcengine/verl/blob/main/examples/split_placement/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 2716
} |
# 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 ... | {
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"title": "verl/models/README.md",
"url": "https://github.com/volcengine/verl/blob/main/verl/models/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 1742
} |
# 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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"title": "tests/ray/detached_worker/README.md",
"url": "https://github.com/volcengine/verl/blob/main/tests/ray/detached_worker/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 241
} |
# 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": "volcengine/verl",
"title": "verl/utils/dataset/README.md",
"url": "https://github.com/volcengine/verl/blob/main/verl/utils/dataset/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file_size": 796
} |
# Digit completion
This is an example of solving a digit completion problem. The problem is defined as below:
The prompt is a sequence of numbers with fixed difference. The agent's goal is to complete the next N numbers.
If the max number is reached, the next number should be modulo with max number.
For example,
- p... | {
"source": "volcengine/verl",
"title": "tests/e2e/arithmetic_sequence/rl/README.md",
"url": "https://github.com/volcengine/verl/blob/main/tests/e2e/arithmetic_sequence/rl/README.md",
"date": "2024-10-31T06:11:15",
"stars": 3801,
"description": "verl: Volcano Engine Reinforcement Learning for LLMs",
"file... |
To discover where the widely used python package certifi reads its certificates from, run:
python -m certifi
Print the available filesystem types:
cat /proc/filesystems
# How can I set up gvisor to route packets from my TUN onwards to the internet, and back again?
Clues: stack.LinkEndpoint and stack.Net... | {
"source": "monasticacademy/httptap",
"title": "NOTES.md",
"url": "https://github.com/monasticacademy/httptap/blob/main/NOTES.md",
"date": "2024-10-15T13:11:47",
"stars": 3800,
"description": "View HTTP/HTTPS requests made by any Linux program",
"file_size": 9143
} |
<h1 align="center">
<img src="./docs/readme-header.webp" alt="Monastic Academy" height="450px">
<br>
httptap
</br>
</h1>
<p align="center">
<a href="https://pkg.go.dev/github.com/monasticacademy/httptap"><img src="https://img.shields.io/badge/go.dev-reference-007d9c?logo=go&logoColor=white&style=flat-square" ... | {
"source": "monasticacademy/httptap",
"title": "README.md",
"url": "https://github.com/monasticacademy/httptap/blob/main/README.md",
"date": "2024-10-15T13:11:47",
"stars": 3800,
"description": "View HTTP/HTTPS requests made by any Linux program",
"file_size": 17118
} |
This is a DNS proxy that answers simple questions using Go's built-in resolver, which reads nsswitch.conf and resolv.conf and does a bunch of work to be as much like gethostbyname, or even use gethostbyname when available via cgo. | {
"source": "monasticacademy/httptap",
"title": "experiments/dns/README.md",
"url": "https://github.com/monasticacademy/httptap/blob/main/experiments/dns/README.md",
"date": "2024-10-15T13:11:47",
"stars": 3800,
"description": "View HTTP/HTTPS requests made by any Linux program",
"file_size": 231
} |
See https://github.com/xjasonlyu/tun2socks/blob/main/core/tcp.go#L78
I may be able to use tun2socks off-the-shelf. The core piece is very nicely designed:
https://github.com/xjasonlyu/tun2socks/blob/main/engine/engine.go#L227-L234
I should be able to use both the tunnel _and_ the proxy from tun2socks. I'll probably... | {
"source": "monasticacademy/httptap",
"title": "experiments/tun2socks/NOTES.md",
"url": "https://github.com/monasticacademy/httptap/blob/main/experiments/tun2socks/NOTES.md",
"date": "2024-10-15T13:11:47",
"stars": 3800,
"description": "View HTTP/HTTPS requests made by any Linux program",
"file_size": 13... |
Forked from https://github.com/vvakame/go-harlog
net/http client logging by HAR format.
Take http request/response log by HAR (HTTP Archive) format.
It can visualize by [any](https://developers.google.com/web/updates/2017/08/devtools-release-notes#har-imports) [tools](https://toolbox.googleapps.com/apps/har_analyzer/... | {
"source": "monasticacademy/httptap",
"title": "pkg/harlog/README.md",
"url": "https://github.com/monasticacademy/httptap/blob/main/pkg/harlog/README.md",
"date": "2024-10-15T13:11:47",
"stars": 3800,
"description": "View HTTP/HTTPS requests made by any Linux program",
"file_size": 1275
} |
# 🚀 Welcome to 21st.dev!
**[21st.dev](https://21st.dev)** is your go-to open-source community registry for **React UI components**! Whether you're a developer, designer, or just someone who loves building beautiful interfaces, 21st.dev is the place to **publish, discover, and install** minimal, modern, and reusable R... | {
"source": "serafimcloud/21st",
"title": "README.md",
"url": "https://github.com/serafimcloud/21st/blob/main/README.md",
"date": "2024-09-30T10:56:10",
"stars": 3796,
"description": "npm for design engineers: largest marketplace of shadcn/ui-based React Tailwind components, blocks and hooks",
"file_size"... |
This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```
Open [http://localhost:3000](http://localhost:3000)... | {
"source": "serafimcloud/21st",
"title": "apps/web/README.md",
"url": "https://github.com/serafimcloud/21st/blob/main/apps/web/README.md",
"date": "2024-09-30T10:56:10",
"stars": 3796,
"description": "npm for design engineers: largest marketplace of shadcn/ui-based React Tailwind components, blocks and hoo... |
# `@turbo/eslint-config`
Collection of internal eslint configurations. | {
"source": "serafimcloud/21st",
"title": "packages/eslint-config/README.md",
"url": "https://github.com/serafimcloud/21st/blob/main/packages/eslint-config/README.md",
"date": "2024-09-30T10:56:10",
"stars": 3796,
"description": "npm for design engineers: largest marketplace of shadcn/ui-based React Tailwin... |
# Contributing
**IMPORTANT:** This project only accepts contributions based on [lucide icons](https://lucide.dev/). Pull requests containing custom icons or icons from other icon packs will be closed.
We welcome contributions to our project! Please follow these steps to contribute:
1. Fork the repository on GitHub.
... | {
"source": "pqoqubbw/icons",
"title": "CONTRIBUTING.md",
"url": "https://github.com/pqoqubbw/icons/blob/main/CONTRIBUTING.md",
"date": "2024-10-31T21:39:28",
"stars": 3778,
"description": "beautifully crafted animated icons",
"file_size": 1167
} |
## `pqoqubbw/icons` is beautifully crafted animated icons.
**Demo** → [icons.pqoqubbw.dev](https://icons.pqoqubbw.dev)
### Svelte icons: [movingicons.dev](https://www.movingicons.dev/) by [@jis3r](https://github.com/jis3r)
### Vue icons: [imfenghuang.github.io/icons](https://imfenghuang.github.io/icons/) by [@imfengh... | {
"source": "pqoqubbw/icons",
"title": "README.md",
"url": "https://github.com/pqoqubbw/icons/blob/main/README.md",
"date": "2024-10-31T21:39:28",
"stars": 3778,
"description": "beautifully crafted animated icons",
"file_size": 1127
} |
## I have read the [CONTRIBUTING.md](https://github.com/pqoqubbw/icons/blob/main/CONTRIBUTING.md) file.
YES/NO
## I have run `yarn gen-cli` to generate the necessary files
YES/NO
## What kind of change does this PR introduce?
Bug fix, feature, docs update, ...
## What is the new behavior?
Feel free to include sc... | {
"source": "pqoqubbw/icons",
"title": ".github/pull_request_template.md",
"url": "https://github.com/pqoqubbw/icons/blob/main/.github/pull_request_template.md",
"date": "2024-10-31T21:39:28",
"stars": 3778,
"description": "beautifully crafted animated icons",
"file_size": 481
} |
<br />
<p align="center">
<a href="https://steel.dev">
<img src="images/steel_header_logo.png" alt="Steel Logo" width="100">
</a>
</p>
<h3 align="center"><b>Steel</b></h3>
<p align="center">
<b>The open-source browser API for AI agents & apps.</b> <br />
The best way to build live web agents and browser au... | {
"source": "steel-dev/steel-browser",
"title": "README.md",
"url": "https://github.com/steel-dev/steel-browser/blob/main/README.md",
"date": "2024-11-01T18:15:29",
"stars": 3748,
"description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance that let... |
# Steel REPL
This package provides a simple REPL to interact with the browser instance you've created using the API.
The API exposes a WebSocket endpoint, allowing you to connect to the browser using Chrome DevTools Protocol (CDP) and use Puppeteer as usual.
## Quick Start
1. Ensure you have **Steel Browser** runni... | {
"source": "steel-dev/steel-browser",
"title": "repl/README.md",
"url": "https://github.com/steel-dev/steel-browser/blob/main/repl/README.md",
"date": "2024-11-01T18:15:29",
"stars": 3748,
"description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instanc... |
# React + TypeScript + Vite
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.i... | {
"source": "steel-dev/steel-browser",
"title": "ui/README.md",
"url": "https://github.com/steel-dev/steel-browser/blob/main/ui/README.md",
"date": "2024-11-01T18:15:29",
"stars": 3748,
"description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance th... |
---
name: Bug report
about: Create a report to help us improve
title: "[BUG] TITLE"
labels: ''
assignees: ''
---
Issue tracker is **ONLY** used for reporting bugs. New features should be discussed in our [Discord server](https://discord.gg/steel-dev).
**Describe the bug**
A clear and concise description of what the ... | {
"source": "steel-dev/steel-browser",
"title": ".github/ISSUE_TEMPLATE/bug_report.md",
"url": "https://github.com/steel-dev/steel-browser/blob/main/.github/ISSUE_TEMPLATE/bug_report.md",
"date": "2024-11-01T18:15:29",
"stars": 3748,
"description": "🔥 Open Source Browser API for AI Agents & Apps. Steel Bro... |
# Contributor Covenant Code of Conduct
## 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, gender i... | {
"source": "mistweaverco/bananas",
"title": "CODE_OF_CONDUCT.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/CODE_OF_CONDUCT.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡. ",
"file_size": 3316
} |
# Contributing to Bananas Screen Sharing
Thanks for checking out Bananas Screen Sharing!
We're excited to hear and learn from you.
We've put together the following guidelines to
help you figure out where you can best be helpful.
## Table of Contents
0. [Types of contributions we're looking for](#types-of-contributi... | {
"source": "mistweaverco/bananas",
"title": "CONTRIBUTING.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/CONTRIBUTING.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡. ",
"file_size": 3090
} |
# Privacy Policy
Effective Date: 2024-12-03
Your privacy is important to us.
This Privacy Policy outlines how we handle and protect your information when you use
Bananas Screen Sharing (the "App").
By using the App, you agree to the terms of this Privacy Policy.
### 1. Data Collection
We do not collect, store, or ... | {
"source": "mistweaverco/bananas",
"title": "PRIVACY.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/PRIVACY.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡. ",
"file_size": 2148
} |
<div align="center">

# Bananas Screen Sharing
[](https://getbananas.net/)
[ govern your use of the Bananas Screen Sharing (the "App").
By using the App, you agree to these Terms.
If you do not agree to these Terms, you may not use the App.
### 1. Acceptance of Terms
B... | {
"source": "mistweaverco/bananas",
"title": "TOS.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/TOS.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡. ",
"file_size": 2640
} |
---
name: Bug report
about: Create a report to help us improve
title: ''
labels: bug
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
**Expected behavio... | {
"source": "mistweaverco/bananas",
"title": ".github/ISSUE_TEMPLATE/bug_report.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/.github/ISSUE_TEMPLATE/bug_report.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made simple ⚡. "... |
---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement
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 clear... | {
"source": "mistweaverco/bananas",
"title": ".github/ISSUE_TEMPLATE/feature_request.md",
"url": "https://github.com/mistweaverco/bananas/blob/main/.github/ISSUE_TEMPLATE/feature_request.md",
"date": "2024-10-10T16:05:25",
"stars": 3716,
"description": "Bananas🍌, Cross-Platform screen 🖥️ sharing 📡 made s... |
# Contributing to Awesome MCP Servers
Contributions are welcome and encouraged! Whether you're fixing a typo, adding a new server, or suggesting improvements, your help is appreciated.
## How to Contribute
1. **Fork the repository:** Click the "Fork" button in the top right corner of the GitHub page.
2. **Create a... | {
"source": "punkpeye/awesome-mcp-servers",
"title": "CONTRIBUTING.md",
"url": "https://github.com/punkpeye/awesome-mcp-servers/blob/main/CONTRIBUTING.md",
"date": "2024-11-30T04:49:10",
"stars": 3664,
"description": "A collection of MCP servers.",
"file_size": 2496
} |
# 素晴らしいMCPサーバー [](https://awesome.re)
[](README.md)
[](README-zh.md)
[](README-ja.md)
[](https://awesome.re)
[](README.md)
[](README-zh.md)
[](README-ja.md)
[](https://awesome.re)
[](README.md)
[](README-zh.md)
[](README-ja.md)
[ and ex... | {
"source": "VectorSpaceLab/OmniGen",
"title": "docs/inference.md",
"url": "https://github.com/VectorSpaceLab/OmniGen/blob/main/docs/inference.md",
"date": "2024-09-16T17:42:17",
"stars": 3628,
"description": "OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340",
"file_size": 11127
} |
# Agent Laboratory: Using LLM Agents as Research Assistants
<p align="center">
<img src="media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【English | <a href="readme/README-chinese.md">中文</a> | <a href="readme/README-japanese.md">日本語</a> | <a hr... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "README.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/README.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the huma... |
# مختبر الوكيل: استخدام وكلاء النماذج اللغوية الكبيرة كمساعدين بحثيين
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-arabic.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-arabic.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow mea... |
# এজেন্ট ল্যাবরেটরি: গবেষণা সহকারী হিসেবে LLM এজেন্ট ব্যবহার
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-bengali.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-bengali.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# Agent Laboratory: 使用大型语言模型代理作为研究助理
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | 中文 | <a href="../readme/README-japanese.md">日本語</a> | <a href="../readme/README-korean.m... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-chinese.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-chinese.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# آزمایشگاه ایجینت ها: استفاده از نمایندگان مدلهای زبانی بزرگ به عنوان دستیار برای محققان
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-farsi.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-farsi.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow meant... |
# Agent Laboratory: Paggamit ng LLM Agents bilang mga Tagapag-Asistang Pang-research
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstrasyon ng daloy ng AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a>... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-filipino.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-filipino.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow... |
# Laboratoire d'Agent : Utilisation des agents LLM comme assistants de recherche
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Démonstration du flux de AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-french.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-french.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow mea... |
# एजेंट लैबोरेटरी: अनुसंधान सहायकों के रूप में LLM एजेंटों का उपयोग
<p align="center">
<img src="../media/AgentLabLogo.png" alt="AgentClinic के प्रवाह का प्रदर्शन" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readm... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-hindi.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-hindi.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow meant... |
# Laboratorio Agenti: Utilizzo di Agenti LLM come Assistenti di Ricerca
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Dimostrazione del flusso di AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-italian.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-italian.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# Agent Laboratory: Using LLM Agents as Research Assistants
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | 日本語 | <a href="../... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-japanese.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-japanese.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow... |
# Agent Laboratory: Using LLM Agents as Research Assistants
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-korean.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-korean.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow mea... |
# Agent Laboratory: Usando Agentes LLM como Assistentes de Pesquisa
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href=".... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-portugues.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-portugues.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workfl... |
# Лаборатория Агентов: Использование агентов на основе больших языковых моделей в качестве научных ассистентов
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../re... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-russian.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-russian.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# Agent Laboratory: Používanie LLM Agentov ako Výskumných Asistentov
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstrácia toku AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme/R... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-slovak.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-slovak.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow mea... |
# Agent Laboratory: Using LLM Agents as Research Assistants
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demostración del flujo de AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../readme/R... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-spanish.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-spanish.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# Agent Laboratuvarı: LLM Ajanlarını Araştırma Asistanı Olarak Kullanma
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a hre... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-turkish.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-turkish.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research workflow m... |
# Agent Laboratory: Sử dụng Đại Diện LLM làm Trợ Lý Nghiên Cứu
<p align="center">
<img src="../media/AgentLabLogo.png" alt="Demonstration of the flow of AgentClinic" style="width: 99%;">
</p>
<p align="center">
【<a href="../README.md">English</a> | <a href="../readme/README-chinese.md">中文</a> | <a href="../rea... | {
"source": "SamuelSchmidgall/AgentLaboratory",
"title": "readme/README-vietnamese.md",
"url": "https://github.com/SamuelSchmidgall/AgentLaboratory/blob/main/readme/README-vietnamese.md",
"date": "2025-01-08T02:00:51",
"stars": 3583,
"description": "Agent Laboratory is an end-to-end autonomous research work... |
<h1 align='center'>Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation</h1>
<div align='center'>
<a href='https://github.com/cuijh26' target='_blank'>Jiahao Cui</a><sup>1*</sup> 
<a href='https://github.com/crystallee-ai' target='_blank'>Hui Li</a><sup>1*</sup> 
<a hre... | {
"source": "fudan-generative-vision/hallo2",
"title": "README.md",
"url": "https://github.com/fudan-generative-vision/hallo2/blob/main/README.md",
"date": "2024-10-16T09:10:54",
"stars": 3488,
"description": "Hallo2: Long-Duration and High-Resolution Audio-driven Portrait Image Animation",
"file_size": 1... |
<p align="center" style="border-radius: 10px">
<img src="asset/logo.png" width="35%" alt="logo"/>
</p>
# ⚡️Sana: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
### <div align="center"> ICLR 2025 Oral Presentation <div>
<div align="center">
<a href="https://nvlabs.github.io/Sana/"><im... | {
"source": "NVlabs/Sana",
"title": "README.md",
"url": "https://github.com/NVlabs/Sana/blob/main/README.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size": 22477
} |
<!--Copyright 2024 NVIDIA CORPORATION & AFFILIATES
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | {
"source": "NVlabs/Sana",
"title": "asset/docs/4bit_sana.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/4bit_sana.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size": 2148
} |
<!-- Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | {
"source": "NVlabs/Sana",
"title": "asset/docs/8bit_sana.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/8bit_sana.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size": 7027
} |
# 💻 How to Inference & Test Metrics (FID, CLIP Score, GenEval, DPG-Bench, etc...)
This ToolKit will automatically inference your model and log the metrics results onto wandb as chart for better illustration. We curerntly support:
- \[x\] [FID](https://github.com/mseitzer/pytorch-fid) & [CLIP-Score](https://github.co... | {
"source": "NVlabs/Sana",
"title": "asset/docs/metrics_toolkit.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/metrics_toolkit.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size... |
## 🔥 1. We provide all the links of Sana pth and diffusers safetensor below
| Model | Reso | pth link | diffusers ... | {
"source": "NVlabs/Sana",
"title": "asset/docs/model_zoo.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/model_zoo.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size": 9549
} |
<!-- Copyright 2024 NVIDIA CORPORATION & AFFILIATES
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to i... | {
"source": "NVlabs/Sana",
"title": "asset/docs/sana_controlnet.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/sana_controlnet.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size... |
# DreamBooth training example for SANA
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject.
The `train_dreambooth_lora_sana.py` script shows how to implement the training procedure with [LoRA](https://huggingface.... | {
"source": "NVlabs/Sana",
"title": "asset/docs/sana_lora_dreambooth.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/sana_lora_dreambooth.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
... |
## 🖌️ Sana-ComfyUI
[Original Repo](https://github.com/city96/ComfyUI_ExtraModels)
### Model info / implementation
- Uses Gemma2 2B as the text encoder
- Multiple resolutions and models available
- Compressed latent space (32 channels, /32 compression) - needs custom VAE
### Usage
1. All the checkpoints will be do... | {
"source": "NVlabs/Sana",
"title": "asset/docs/ComfyUI/comfyui.md",
"url": "https://github.com/NVlabs/Sana/blob/main/asset/docs/ComfyUI/comfyui.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_size... |
# CLIP Score for PyTorch
[](https://pypi.org/project/clip-score/)
This repository provides a batch-wise quick processing for calculating CLIP scores. It uses the pretrained CLIP model to measure the cosine similarity between two modalities. The project structure is... | {
"source": "NVlabs/Sana",
"title": "tools/metrics/clip-score/README.md",
"url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/clip-score/README.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
... |
# GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
This repository contains code for the paper [GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment](https://arxiv.org/abs/2310.11513) by Dhruba Ghosh, Hanna Hajishirzi, and Ludwig Schmidt.
TLDR: We demonstrate the adva... | {
"source": "NVlabs/Sana",
"title": "tools/metrics/geneval/README.md",
"url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/geneval/README.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
"file_... |
# Changelog
## \[0.3.0\] - 2023-01-05
### Added
- Add argument `--save-stats` allowing to compute dataset statistics and save them as an `.npz` file ([#80](https://github.com/mseitzer/pytorch-fid/pull/80)). The `.npz` file can be used in subsequent FID computations instead of recomputing the dataset statistics. This... | {
"source": "NVlabs/Sana",
"title": "tools/metrics/pytorch-fid/CHANGELOG.md",
"url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/pytorch-fid/CHANGELOG.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transfor... |
[](https://pypi.org/project/pytorch-fid/)
# FID score for PyTorch
This is a port of the official implementation of [Fréchet Inception Distance](https://arxiv.org/abs/1706.08500) to PyTorch.
See [https://github.com/bioinf-jku/TTUR](https://github.com/bioinf-jku/TTU... | {
"source": "NVlabs/Sana",
"title": "tools/metrics/pytorch-fid/README.md",
"url": "https://github.com/NVlabs/Sana/blob/main/tools/metrics/pytorch-fid/README.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer",
... |
# a fast implementation of linear attention
## 64x64, fp16
```bash
# validate correctness
## fp16 vs fp32
python -m develop_triton_litemla attn_type=LiteMLA test_correctness=True
## triton fp16 vs fp32
python -m develop_triton_litemla attn_type=TritonLiteMLA test_correctness=True
# test performance
## fp16, forward
... | {
"source": "NVlabs/Sana",
"title": "diffusion/model/nets/fastlinear/readme.md",
"url": "https://github.com/NVlabs/Sana/blob/main/diffusion/model/nets/fastlinear/readme.md",
"date": "2024-10-11T20:19:45",
"stars": 3449,
"description": "SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Tr... |
<p align="left">
<a href="README_CN.md">中文</a>  |   English   |  <a href="README_JP.md">日本語</a>
</p>
<br><br>
# Step-Audio
<p align="center">
<img src="assets/logo.png" height=100>
</p>
<div align="center">
<a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/sta... | {
"source": "stepfun-ai/Step-Audio",
"title": "README.md",
"url": "https://github.com/stepfun-ai/Step-Audio/blob/main/README.md",
"date": "2025-02-11T05:35:12",
"stars": 3434,
"description": null,
"file_size": 35100
} |
<p align="left">
中文</a>  |  <a href="README.md">English</a>  |  <a href="README_JP.md">日本語</a>
</p>
<br><br>
# Step-Audio
<p align="center">
<img src="assets/logo.png" height=100>
</p>
<div align="center">
<a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/static/v... | {
"source": "stepfun-ai/Step-Audio",
"title": "README_CN.md",
"url": "https://github.com/stepfun-ai/Step-Audio/blob/main/README_CN.md",
"date": "2025-02-11T05:35:12",
"stars": 3434,
"description": null,
"file_size": 29107
} |
<p align="left">
<a href="README_CN.md">中文</a>   |  <a href="README.md">English</a>  |   日本語 
</p>
<br><br>
# Step-Audio
<p align="center">
<img src="assets/logo.png" height=100>
</p>
<div align="center">
<a href="https://arxiv.org/abs/2502.11946"><img src="https://img.shields.io/stati... | {
"source": "stepfun-ai/Step-Audio",
"title": "README_JP.md",
"url": "https://github.com/stepfun-ai/Step-Audio/blob/main/README_JP.md",
"date": "2025-02-11T05:35:12",
"stars": 3434,
"description": null,
"file_size": 26033
} |
# 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, sex ch... | {
"source": "corbt/agent.exe",
"title": "CODE_OF_CONDUCT.md",
"url": "https://github.com/corbt/agent.exe/blob/main/CODE_OF_CONDUCT.md",
"date": "2024-10-23T06:55:13",
"stars": 3396,
"description": null,
"file_size": 3365
} |
**Note**: please consider this project a proof of concept. I don't intend to maintain it or merge pull requests. Feel free to fork and build it into something great!
### Introduction
Presenting **Agent.exe**: the easiest way to let Claude's new [computer use](https://www.anthropic.com/news/3-5-models-and-computer-use... | {
"source": "corbt/agent.exe",
"title": "README.md",
"url": "https://github.com/corbt/agent.exe/blob/main/README.md",
"date": "2024-10-23T06:55:13",
"stars": 3396,
"description": null,
"file_size": 1958
} |
# JStack - Build fast, lightweight and end-to-end typesafe Next.js apps
Built on Next.js 15, Hono, Tailwind and Drizzle ORM.

## About
Appreciate you for checking out JStack! For features & docs, see:
https://jstack.app/
Che... | {
"source": "upstash/jstack",
"title": "README.md",
"url": "https://github.com/upstash/jstack/blob/main/README.md",
"date": "2024-09-03T08:31:54",
"stars": 3328,
"description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps",
"file_size": 567
} |
## JStack
Ship high-performance Next.js apps for extremely cheap | {
"source": "upstash/jstack",
"title": "app/README.md",
"url": "https://github.com/upstash/jstack/blob/main/app/README.md",
"date": "2024-09-03T08:31:54",
"stars": 3328,
"description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps",
"file_size": 65
} |
This CLI is built by looking at how the [T3 Stack](https://create.t3.gg/) built their CLI. The credit for this CLI and how it's structured goes to them. | {
"source": "upstash/jstack",
"title": "cli/README.md",
"url": "https://github.com/upstash/jstack/blob/main/cli/README.md",
"date": "2024-09-03T08:31:54",
"stars": 3328,
"description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps",
"file_size": 152
} |
## JStack
Ship high-performance Next.js apps for extremely cheap
Stuff to improve
- footer padding
- docs "on this page" visual bug
- add docs for:
- procedures
- cloudflare deployment
- vercel deployment | {
"source": "upstash/jstack",
"title": "www/README.md",
"url": "https://github.com/upstash/jstack/blob/main/www/README.md",
"date": "2024-09-03T08:31:54",
"stars": 3328,
"description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps",
"file_size": 218
} |
## JStack
Ship high-performance Next.js apps for extremely cheap | {
"source": "upstash/jstack",
"title": "cli/template/base/README.md",
"url": "https://github.com/upstash/jstack/blob/main/cli/template/base/README.md",
"date": "2024-09-03T08:31:54",
"stars": 3328,
"description": "Build seriously fast, lightweight and end-to-end typesafe Next.js apps",
"file_size": 65
} |
# entropix
Entropy Based Sampling and Parallel CoT Decoding
The goal is to use entropy to make context aware sampling. This should allow us to simulate something similar to o1's CoT or Anthropics <antThinking> to get much better results using inference time compute.
This project is a research project and a work in pr... | {
"source": "xjdr-alt/entropix",
"title": "README.md",
"url": "https://github.com/xjdr-alt/entropix/blob/main/README.md",
"date": "2024-10-03T01:02:51",
"stars": 3320,
"description": "Entropy Based Sampling and Parallel CoT Decoding ",
"file_size": 6402
} |
#TODO
## Repo
- Code and Docs cleanup (this is very hacky right now)
- Concept explanation and simple impelmentation examples
## Vanilla Sampler
- Repition penalties (DRY, Frequency, etc)
- min_p
## Entropy Sampler
- Base sampler with dynamic thresholds and no beam / best of N
## Model
- TPU Splash, TPU Paged... | {
"source": "xjdr-alt/entropix",
"title": "TODO.md",
"url": "https://github.com/xjdr-alt/entropix/blob/main/TODO.md",
"date": "2024-10-03T01:02:51",
"stars": 3320,
"description": "Entropy Based Sampling and Parallel CoT Decoding ",
"file_size": 976
} |
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