Official inference repo for FLUX.1 models

The best OSS video generation models

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Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

Utilities intended for use with Llama models.

Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"

Grounding Image Matching in 3D with MASt3R

DUSt3R: Geometric 3D Vision Made Easy

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

A simple and fast anti-censorship tool written in Go

GoodbyeDPI — Deep Packet Inspection circumvention utility (for Windows)

Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)

[ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

A curated list of awesome Deep Stereo Matching resources

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Official inference library for Mistral models

Implementation of Nougat Neural Optical Understanding for Academic Documents

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

SMD-Nets: Stereo Mixture Density Networks