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advanced-java-programming--first-semeste-

The first part of the course focus on Design Patterns and Principles

agents

Efficient Batched Reinforcement Learning in TensorFlow

attention-on-attention-for-vqa

Visual Question Answering Project with state of the art single Model performance.

attentionalrbm

Attentional Model with RBMs and Reinforcement Learning - ICML 2011

bayesian_neural_network_papers

Papers for Bayesian-NN

bayesianhypernet

bootstrap.pytorch

Highlevel framework for starting Deep Learning projects (lightweight, flexible, easy to extend)

cite

Implementation for our paper "Conditional Image-Text Embedding Networks"

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cytonmt

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

cytonrl

reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay

debugger.lua

A simple, embedabble CLI debugger for Lua.

deep-rl-time-series

Deep reinforcement learning for time series: playing idealized trading games

deep-subspace-clustering-networks

dkvmn

Dynamic Key-Value Memory Networks for Knowledge Tracing

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

draw

Reimplementation of DRAW

dt-ram

dtn-tensorflow

domain transfer network. tensorflow implementation of unsupervised cross-domain image generation

dvn

Reference implementation for Structured Prediction with Deep Value Networks

elf

ELF: a platform for game research

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

feedback-networks

The repo of Feedback Networks, Zamir et al.

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks