lora concepts library

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posted an update about 2 months ago

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SmilyAI-Labs is happy to say that our new AI called Mira is launched. Mira is the curious, honest companion built to help you learn, not impress you — she'll debug your code, explain her reasoning, and politely roast broken lines before fixing them. Her personality isn't a gimmick: it's an engineering choice that makes her more usable, not less. Competing models can't be honest without sounding untrustworthy; Mira has the cover story that makes honesty a feature, not a liability. She's the upgrade you already love, and the lab is excited to meet you.' To see the wonders of Mira, go to hugging-science/chat-with-mira

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posted an update about 2 months ago

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If you want to join our beta testers program, please go to this link https://smilyaibeta.pythonanywhere.com/

We hope you join our journey,
MUK IS GOAT

posted an update 4 months ago

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MIDI datasets are rare to find, so I made a compilation of them here!

ronantakizawa/sampleflip-midi

ronantakizawa/popsongs-segments-midi

#music #midi #dataset

in lora-library/inme 4 months ago

Add application file

#1 opened 4 months ago by

posted an update 7 months ago

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2912

Introducing the github-codereview dataset: A compilation of 200k+ human-written code reviews from top OSS projects (React, Tensorflow, VSCode...).

I finetuned a Qwen2.5-Coder-32B-Instruct model with this dataset and saw significant improvements in generating better code fixes and review comments (4x improved BLEU-4, ROUGE-L, SBERT scores compared to base model).

#codereview #code #datasets

ronantakizawa/github-codereview

posted an update 7 months ago

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Introducing the WebUI dataset: a compilation of screenshot to code pairs of modern websites detailing the styling, framework used, and box bounds for all viewports (Desktop, mobile, tablet).

This dataset showed signs of improved performance in web design LLM benchmarks for a finetuned QWEN 2.5 VL-7B!

#web #ui #datasets

ronantakizawa/webui

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posted an update 8 months ago

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Introducing the github-top-code dataset: A curated dataset of 1.3M+ source code files from GitHub's top ranked developers.

I collected the best source code files from Github's highest trending developers of all time, and compiled a dataset to train LLMs to write well-structured, production-grade code.

#dataset #codedataset #pretraining

ronantakizawa/github-top-code

posted an update 8 months ago

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291

Introducing the LeetCode Assembly Dataset: a dataset of 400+ LeetCode problem solutions in assembly across x86-64, ARM64, MIPS64, and RISC-V using GCC & Clang at -O0/-O1/-O2/-O3 optimizations.

This dataset is perfect for teaching LLMs complex compiler behavior!

#dataset #leetcode #assembly

ronantakizawa/leetcode-assembly

posted an update 8 months ago

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Hit 10,000+ downloads across my models and datasets on Hugging Face!

Follow for more @ronantakizawa !

#building #datasets #huggingface

posted an update 8 months ago

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Moltbook, a Reddit platform only for AI agents, is going viral right now as agents are acting unhinged!

I compiled a dataset of all posts and subreddits in Moltbook so far so anyone can easily analyze the activity in Moltbook.

ronantakizawa/moltbook

#moltbook #clawd #aiagent

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posted an update 9 months ago

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Introducing the HuggingFace Top Trending Papers dataset: a dataset that compiles the most trending papers on HuggingFace Daily Papers in 2025.

This dataset captures which AI/ML research papers gained the most community attention this year!

#huggingface #papers #dataset

ronantakizawa/huggingface-top-papers

posted an update 10 months ago

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Thank you @clem (Co-Founder & CEO of Hugging Face) for sharing my dataset on X / Twitter!

ronantakizawa/github-top-developers

#github #dataset

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posted an update 10 months ago

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Introducing the github-top-developers dataset: A comprehensive dataset of the top 8000 developers on GitHub (2020-2025). This dataset captures the evolution of GitHub's trending developers repositories over time and the projects they work on.

#github #developers

ronantakizawa/github-top-developers

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posted an update 10 months ago

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Introducing the trending-stocks-yahoo-finance dataset: a compilation of the most trending stocks on Yahoo Finance from July 2024 to October 2025.

This dataset captures each trending stock's max price, max market cap, best rank on Yahoo Finance, PE ratio, and trading volume.

#stocks #investing #trading

ronantakizawa/trending-stocks-yahoo-finance

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posted an update 10 months ago

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Introducing the github-top-projects dataset: A comprehensive dataset of 423,098 GitHub trending repository entries spanning 12+ years (August 2013 - November 2025).

This dataset captures the evolution of GitHub's trending repositories over time, providing insights into software development trends across programming languages and domains, popular open-source projects and their trending patterns, and community interests and shifts in developer focus over 12 years.

ronantakizawa/github-top-projects

#github #softwareengineering

posted an update 10 months ago

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Introducing the twitter-trending-hashtags dataset, a compilation of 12,000+ unique trending hashtags on Twitter / X from 2020 to 2025. This dataset captures viral and cultural moments on Twitter / X and is perfect for researchers studying viral content patterns on social media.

ronantakizawa/twitter-trending-hashtags

#twitter #trends #socialmedia

posted an update 10 months ago

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this is big... 50 AI researchers from Bytedance, Alibaba, Tencent, and other labs/universities just published a 300-page paper with surprising lessons about coding models and agents (data, pre and post-training, etc).

key highlights:

> small LLMs can beat proprietary giants
RL (RLVR specifically) gives small open-source models an edge over big models in reasoning. a 14B model trained with RLVR on high-quality verified problems can match the performance of OpenAI's o3.

> models have a hard time learning Python.
mixing language models during pre-training is good, but Python behaves different from statically typed languages. languages with similar syntax (Java and C#, or JavaScript and TypeScript) creates high positive synergy. mixing Python heavily into the training of statically typed languages can actually hurt because of Python's dynamic typing.

> not all languages are equal (coding scaling laws)
the amount of data required to specialize a model on a language drastically depends on the language. paper argues like C# and Java are easier to learn (less training data required). languages like Python and Javascript are actually more tricky to learn, ironically (you see AI most used for these languages :)

> MoE vs Dense (ability vs stability)
MoE models offer higher capacity, but are much more fragile during SFT than dense models. hyperparams in training have a more drastic effect in MoE models, while dense models are more stable. MoE models also require constant learning rate schedules to avoid routing instability.

> code models are "insecure" by default (duh)
training on public repos makes models learn years of accumulated insecure coding patterns. safety fine-tuning often fails to work much on code. a model might refuse to write a hate speech email but will happily generate a SQL-injection vulnerable function because it "works."

read the full paper:
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence (2511.18538)

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posted an update 10 months ago

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Introducing the tiktok-trending-hashtags dataset: a compilation of 1,830 unique trending hashtags on TikTok from 2022 to 2025. This dataset captures viral one-time and seasonal viral moments on TikTok and is perfect for researchers, marketers, and content creators studying viral content patterns on social media.

ronantakizawa/tiktok-trending-hashtags
#tiktok #trends #social-media

posted an update 10 months ago

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Reached 2500+ total downloads across my models and datasets! 🎉

Follow me for more @ronantakizawa

posted an update 10 months ago

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Introducing the india-trending-words dataset: a compilation of 900 trending Google searches from 2006-2024 based on https://trends.withgoogle.com. This dataset captures search trends in 80 categories, and is perfect for analyzing cultural shifts and predicting future trends in India.

#india #indiadataset #googlesearches

ronantakizawa/india-trending-words