Lists (6)
Stars
Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
Hydra is a framework for elegantly configuring complex applications
Collection of common code that's shared among different research projects in FAIR computer vision team.
Display tabular data in a visually appealing ASCII table format
Most popular metrics used to evaluate object detection algorithms.
[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
Solve Visual Understanding with Reinforced VLMs
Official repository of 'Visual-RFT: Visual Reinforcement Fine-Tuning' & 'Visual-ARFT: Visual Agentic Reinforcement Fine-Tuning'’
PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024
[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.
EasyLiterature is an open-sourced, Python-based command line tool for automatic literature management.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
A terminal utility for intelligent shell command generation
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Python 3 Bindings for the NVIDIA Management Library
对图片进行精细分割，a pytorch implemenation for Deep Image Matting paper
Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.