CUDA implementation of Image Completion Using Global Optimization(Nikos Komodakis and Georgios Tziritas)

Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.

Re-Implementation of "Image Inpainting for Irregular Holes using Partial Convolution"

A very useful timer (🍅Pomodoro Clock)

CVPR 2025, EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection

distributed builds for C, C++ and Objective C

Mirror only. Official repository is at https://git.zx2c4.com/wireguard-go

使用 rust 实现的飞连客户端

AutoMQ is a diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.

FlatBuffers: Memory Efficient Serialization Library

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

A library for efficient similarity search and clustering of dense vectors.

Open Source Computer Vision Library

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

Quick and Self-Contained TensorRT Custom Plugin Implementation and Integration

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Implementation of popular deep learning networks with TensorRT network definition API

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

This repository give a guidline to learn CUDA and TensorRT from the beginning.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

LLM inference in C/C++

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

TuShare is a utility for crawling historical data of China stocks

Code base of the BEVDet series .

Trax — Deep Learning with Clear Code and Speed

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.