Sniffs sensitive data from interface or pcap

Reference implementations of MLPerf® training benchmarks

A boilerplate for Django web applications

self-driving MarioKart with TensorFlow

Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap

Distributed Deep learning with Keras & Spark

An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

disentanglement_lib is an open-source library for research on learning disentangled representations.

A toolbox to iNNvestigate neural networks' predictions!

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

Passive sniffing tool for capturing and visualising WiFi location data disclosed by iOS devices

Deep learning models trained to correct input errors in short, message-like text

Learning Latent Dynamics for Planning from Pixels

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

IPython magic command to profile and view your python code as a heat map.

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

Keras implementation of Deep Convolutional Generative Adversarial Networks

Code for the paper "Exploration by Random Network Distillation"

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Facebook chatbot that I trained to talk like me using Seq2Seq

conversation of caffe vgg16 model to tensorflow

Kaggle datascience bowl 2017

Kaggle's competition for using Google's word2vec package for sentiment analysis

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

🎯 A comprehensive gradient-free optimization framework written in Python

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.