Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser

A library for advanced large language model reasoning

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Unofficial implementation of YOLO-World + EfficientSAM for ComfyUI

Visualizing the attention of vision-language models

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Using FlexAttention to compute attention with different masking patterns

Minimalistic large language model 3D-parallelism training

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Helpful tools and examples for working with flex-attention

Collection of AWESOME vision-language models for vision tasks

A custom Huggingface trainer which supports logging auxiliary losses returned by your model

Rich is a Python library for rich text and beautiful formatting in the terminal.

Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"

[NeurIPS'24 Spotlight] EVE: Encoder-Free Vision-Language Models

Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

SGLang is a fast serving framework for large language models and vision language models.

Accelerating the development of large multimodal models (LMMs) with lmms-eval

This repository contains demos I made with the Transformers library by HuggingFace.

Materials for the Hugging Face Diffusion Models Course

A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)

[NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*

A framework for few-shot evaluation of language models.

The official implementation of Self-Play Fine-Tuning (SPIN)

A recipe for online RLHF and online iterative DPO.