Stars
Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems before being tested on real-life problems.
Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
AllTalk is based on the Coqui TTS engine, similar to the Coqui_tts extension for Text generation webUI, however supports a variety of advanced features, such as a settings page, low VRAM support, D…
A free book: "The Science of Functional Programming"
Efficient Triton Kernels for LLM Training
An open science effort to benchmark legal reasoning in foundation models
Code for "On Measuring Faithfulness of Natural Language Explanations"
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Stable Diffusion web UI
Chat language model that can use tools and interpret the results
Code for the paper "Evaluating Large Language Models Trained on Code"
Robust recipes to align language models with human and AI preferences
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
OCR, layout analysis, reading order, table recognition in 90+ languages
Convert PDF to markdown + JSON quickly with high accuracy
A quick guide (especially) for trending instruction finetuning datasets
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Tools for merging pretrained large language models.
A framework for few-shot evaluation of language models.