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peteryang's Projects

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

qix icon qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

siamese-fc icon siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

stacknet icon stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

stereonet icon stereonet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

stone-soup icon stone-soup

A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.

styleguide icon styleguide

Style guides for Google-originated open-source projects

taichi icon taichi

Productive programming language for portable, high-performance, sparse & differentiable computing

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tfjs icon tfjs

A WebGL accelerated, browser based JavaScript library for training and deploying ML models.

the-art-of-programming-by-july icon the-art-of-programming-by-july

本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售

tianshou icon tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.

tinyekf icon tinyekf

Lightweight C/C++ Extended Kalman Filter with Python for prototyping

tpu icon tpu

Reference models and tools for Cloud TPUs.

universe icon universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

videnn icon videnn

ViDeNN - Deep Blind Video Denoising

vulnpoc icon vulnpoc

Vulnerability Verification Environment based on Docker

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