ml-lab Goto Github PK
Type: Organization
Bio: forks of interesting repos relating to machine learning
Type: Organization
Bio: forks of interesting repos relating to machine learning
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.
Repository of data and tools for the AdobeIndoorNav dataset
Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"
Tensorflow Implementation of Adversarial Attack to Capsule Networks
Towards A Unified Framework for Adversarial Text Generation
Neural dialogue reimplementations
Code and hyperparameters for the paper "Generative Adversarial Networks"
Reproducing the results of "Intriguing Properties of Neural Networks" and beyond
Tensorflow implementation of Adversarial Autoencoders
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
A-Fast-RCNN (CVPR 2017)
Analysis of Adversarial Logit Pairing
Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
Code repository for "Self Adversarial Training for Human Pose Estimation"
Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
Creating a better validation set when test examples differ from training examples
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Style transfer for chess.
Web-based visualization tool for adversarial machine learning / Live Demo @
A very simple variant of adversarial training that yields excellent results on MNIST
The classical Papers and codes about adversarial nets
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Open-source implementation of Google Vizier for hyper parameters tuning
Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang
Bias and Fairness Audit Toolkit
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.