Collect every awesome work about r1!

Our library for RL environments + evals

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment

Deep Reinforcement Learning with Python, Second Edition, published by Packt

Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

PyTorch code and models for the DINOv2 self-supervised learning method.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

[IEEE TMI] Official Implementation for UNet++

PyTorch implementation of ENet

VSCode Extension : Python Image Preview

SeqTrackv2: Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking

ICRA 2020 | Repository for "PST900 RGB-Thermal Calibration, Dataset and Segmentation Network" | C++, Python, PyTorch

Single Object Tracking Paper List（SOT）

A vision-language tracking paper list, articles related to visual language tracking have been documented.

A visual object tracking paper list, articles related to visual object tracking have been documented.

A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.

Resources for Multiple Object Tracking (MOT)

machine learning system examples

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Awesome Knowledge Distillation

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

🤘 awesome-semantic-segmentation