Starred repositories
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
[ArXiv] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Code release for CVPR'24 submission 'OmniGlue'
A novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization ability.
Stereo Algorithms (Include:CREStereo,RAFT-Stereo,Hitnet,FastACVNet_plus,Stereo Transformers,RealtimeStereo,DistDepth) with TensorRT,ORT,OpenVINO
BackTrader中文教程笔记(by:量化投资与机器学习),系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等,彻底掌握量化神器的使用方法。章节:介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……(持续更新中)
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
An unofficial implementation of the "Contrast Division based Enhancement" algorithm
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
State-of-the-art 2D and 3D Face Analysis Project
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
Models and examples built with TensorFlow
BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) H…
Collection of popular and reproducible image denoising works.