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🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with ❤️ (imho the best tmux configuration that just works)
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)
A curated list of awesome adversarial machine learning resources
Awesome CV is LaTeX template for your outstanding job application
The Vim plugin shortlist
Collection of awesome color schemes for Neo/vim, merged for quick use.
A curated list of backdoor learning resources
A Vim color scheme.
Open-source KVM software
Caffe: a fast open framework for deep learning.
Convert Caffe models to PyTorch
Minecraft texture pack creator using a conditional deep convolutional generative adversarial network
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Visualisations for Convolutional Neural Networks in Pytorch
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
DeepVis Toolbox
DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
An Emacs framework for the stubborn martian hacker
My Emacs Doom Config
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
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.