Starred repositories
Inspect: A framework for large language model evaluations
Secure, high-performance AI infrastructure in Python.
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin9…
From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
RoboBrain 2.0: Advanced version of RoboBrain. See Better. Think Harder. Do Smarter. 🎉🎉🎉
Empowering RAG with a memory-based data interface for all-purpose applications!
📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
[ICML 2025] FreeMesh: Boosting Mesh Generation with Coordinates Merging
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network
Textbook on reinforcement learning from human feedback
🔥🔥First-ever hour scale video understanding models
Image Deblurring using Generative Adversarial Networks
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
An MIT License of YOLOv9, YOLOv7, YOLO-RD
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
SkyReels V1: The first and most advanced open-source human-centric video foundation model
Skywork-R1V2:Multimodal Hybrid Reinforcement Learning for Reasoning
SkyReels-V2: Infinite-length Film Generative model
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]
[CVPR 2025] Concept Bottleneck Autoencoder (CB-AE) -- efficiently transform any pretrained (black-box) image generative model into an interpretable generative concept bottleneck model (CBM) with mi…