Everything about the SmolLM and SmolVLM family of models

A framework for few-shot evaluation of language models.

This repository contains example notebooks and homeworks demonstrating various techniques in model optimization for Edge ML.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.

Muon is an optimizer for hidden layers in neural networks

A simple and explained implementation of (Dr.) GRPO in PyTorch.

A simple and explained implementation of (Dr.) GRPO in PyTorch.

🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.

🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.

Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

Quantum Well Simulator for Semiconductor Modeling

Train transformer language models with reinforcement learning.

The LLM Evaluation Framework

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

An Open Source Toolkit For LLM Distillation

Hackable and optimized Transformers building blocks, supporting a composable construction.

Hackable and optimized Transformers building blocks, supporting a composable construction.

Code for BLT research paper

Code for the ongoing GSoC project "Classification of body keypoint trajectories of gesture co-occurring with time expressions".

Code for implementing a Tree of thought based prompting method for the math data GSM8K.

LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.

🚀LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

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 …

A Simple Web Crawler implementation in Python, notebook (Google Colab)

🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data