Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Keras implementations of Generative Adversarial Networks.
yewtube, forked from mps-youtube , is a Terminal based YouTube player and downloader. No Youtube API key required.
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
Keras code and weights files for popular deep learning models.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Learning to See in the Dark. CVPR 2018
🐙 Free scripts, bots and Python API wrapper. Get free followers with our auto like, auto follow and other scripts!
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
🌎 Simple and ready-to-use tutorials for TensorFlow
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Better lighting for Linux. Open source GUI for xflux
Collection of generative models in Pytorch version.
Correctly generate plurals, ordinals, indefinite articles; convert numbers to words
Robust evasion attacks against neural network to find adversarial examples
Slouchy uses your webcam to check if you're slouching and alert you if you are.
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.