jiexunsee

GraphTSNE

PyTorch Implementation of GraphTSNE, ICLR’19

redux-code

Companion Repo for a course on Udemy

TADPOLE

Helper scripts for TADPOLE Challenge 2017: http://tadpole.grand-challenge.org

spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18

fyp-graph-clustering

Final Year Project: "An Experimental Study of Graph Neural Networks"

graph_nets

Build Graph Nets in Tensorflow

RecommenderSystem-DataSet

This repository contains some datasets that I have collected in Recommender Systems.

Splendor

Splendor boardgame in React & Flask, designed for AI development

a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

frameglimpses

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

graph-based-nn

Graph Convolutional Networks (GCNs)

NRI

Neural relational inference for interacting systems - pytorch

TCN

Sequence modeling benchmarks and temporal convolutional networks

simple-GP

A collection of simple demos for Gaussian Processes using GPy

mcmc-importance-sampling

Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression

end2you

Multimodal-Emotion-Recognition

This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.

deep-activity-rec

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

interviews

Everything you need to know to get the job.

trpo

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

DeepLearning-Challenges

Codes for weekly challenges on Deep Learning by Siraj

PoseEstimation

Real-Time Multi-Person 2D Pose Estimation with Temporal Entity Alignment

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

pytorch-charRNN

Character RNN implemented in PyTorch

magenta

Magenta: Music and Art Generation with Machine Intelligence

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

dqn

Basic DQN implementation

Blues

Generative Learning Project using Tensorflow. Used Restricted Boltzmann machines along with Gibbs sampling to generate Blues music :)