Rishav Chourasia's Projects
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
For CATcher smoke test
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Tensorflow implementation of BootstrappedDQN using OpenAI baselines
Caffe fork that supports Fast R-CNN
A flexible framework of neural networks for deep learning
Experimental toolchain to compile and run Chainer models
Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.
An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
Deep Neural Network Compiler and Inference Framework for All Platforms
A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.
A framework for implementing federated learning
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Android Application for IIT Guwahati Alumni Association
A general Markov Decision Process environment.
Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
A library for running membership inference attacks against ML models
MineRL Competition for Sample Efficient Reinforcement Learning - Python Package
Proof of concept of efficient Multi Dimensional extension of EIASC type-reduction algorithm.
A PyTorch implementation of Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series (https://arxiv.org/abs/1905.13570).