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cohencohenchen's Projects

alpha-gan icon alpha-gan

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

ece551-minishell icon ece551-minishell

A minishell program as course project of ECE551. This program can realizes basic shell functionalities, such as changing directories, storing user-set variables, and calling system functions given necessary arguments. STL data structures like map and vector are utilized. A well designed parsing function is used to translate user's input command.

ece590hineman icon ece590hineman

Repository for course materials for ECE 590 Scalable Reinforcement Learning

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

infogan icon infogan

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

nlp_overview icon nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

rlgraph icon rlgraph

RLgraph: Modular computation graphs for deep reinforcement learning

vampyre icon vampyre

Approximate Message Passing in Python

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