jiangyangzhou Goto Github PK
Type: User
Company: SJTU
Bio: AI and adversarial attack
Location: Shanghai
Type: User
Company: SJTU
Bio: AI and adversarial attack
Location: Shanghai
3 Implements of solving 2048 with monte carlo method (cuda & python & c++)
Multi-Person Pose Estimation System
Adversarial attack project for ML course in SJTU.
Auto-encoder on torch - trying out the various AEs
a project of solve barcode
Caffe: a fast open framework for deep learning.
some notes for cv learning
DECA: Detailed Expression Capture and Animation
Defense and Attack sample code for project in Machine Learning in Action course in SJTU
End-to-End Object Detection with Transformers
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
for kaggle competition practice
[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback
A c++ mine sweeping solver.
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
Open MMLab Detection Toolbox and Benchmark
A tutorial for mnist hand writen digit classification using sklearn, pytorch and keras.
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
No.5 solution to non-targeted attack in IJCAI-2019 Alibaba Adversarial AI Challenge (AAAC 2019))
Go 语言学习计划(完整版)/请勿他用 Backup https://github.com/Forcrush/OpenBli
OpenGL project with phong model
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Piccolo (formerly Pilot) – mini game engine for games104
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implement of interp 2d (Perform serve as griddata in scipy)
Rainbow: Combining Improvements in Deep Reinforcement Learning
Simple Reinforcement learning tutorials
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.