Stars
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Robust evasion attacks against neural network to find adversarial examples
Blackbox attacks for deep neural network models
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
All Algorithms implemented in Python
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great J…
TensorFlow code and pre-trained models for BERT
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Fast mini batch version of treelstm using tensorflow
Tensorflow implementation of Recursive Neural Networks using LSTM units
Collection of Deep Reinforcement Learning algorithms
Python Implementation of Reinforcement Learning: An Introduction
Lime: Explaining the predictions of any machine learning classifier
Convolutional Neural Network for Text Classification in Tensorflow
Character level models for sentiment analysis
Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow
Representation learning on large graphs using stochastic graph convolutions.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
A game theoretic approach to explain the output of any machine learning model.
Text classifier for Hierarchical Attention Networks for Document Classification
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016
Practical Examples for RNNs in Tensorflow