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Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Python Backtesting library for trading strategies
PyTorch package for the discrete VAE used for DALL·E.
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
Visual localization made easy with hloc
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Dual Attention Network for Scene Segmentation (CVPR2019)
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
Official Pytorch implementation of the preprint paper "Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos", in arXiv:2010.11800.
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
The official Pytorch implementation of OCNet, OCRNet, and SegFix.
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Sources for OpenXR loader, basic API layers, and example code.
MANO layer for PyTorch, generating hand meshes as a differentiable layer
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation