bemova

big-data-analytics-course

Laboratory sessions and course outline for Big Data Analytics course at Concordia

Building-Efficient-ConvNets-using-Redundant-Feature-Pruning

It is a Pytorch implementation of https://arxiv.org/pdf/1802.07653.pdf paper.

Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-Huffman

It is a pytorch implementation of https://arxiv.org/abs/1510.00149 paper.

Deep_reinforcement_learning

Deep reinforcement learning solution for some open AI gym environments.

GAN_Generative_Adversarial_Network

GAN(Generative Adversarial Network) sample for Google quick draw dataset with tensorflow and keras.

Q_lambda_reinforcement_learning

Q lambda approach sample in a Reinforcement Learning with python

Q_reinforcement_learning

Q Reinforcement Learning Samples in python

RecomendationSystem

implementation of Collaborative filtering in Spark, Matrix Factorization, deep learning model, Autorec(autoencoder), LinUCB, and HybridLinUCB

sarsa_lambda_reinforcement_learning

A reinforcement learning sample in python with sarsa lambda approach.

sarsa_reinforcement_learning

A reinforcement learning sample in python with sarsa(state, action, reward, next_state, next_action)

bemova/Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-Huffman

It is a pytorch implementation of https://arxiv.org/abs/1510.00149 paper.

bemova/Building-Efficient-ConvNets-using-Redundant-Feature-Pruning

It is a Pytorch implementation of https://arxiv.org/pdf/1802.07653.pdf paper.

bemova/GAN_Generative_Adversarial_Network

GAN(Generative Adversarial Network) sample for Google quick draw dataset with tensorflow and keras.

bemova/sarsa_lambda_reinforcement_learning

A reinforcement learning sample in python with sarsa lambda approach.

bemova/RecomendationSystem

implementation of Collaborative filtering in Spark, Matrix Factorization, deep learning model, Autorec(autoencoder), LinUCB, and HybridLinUCB

bemova/Deep_reinforcement_learning

Deep reinforcement learning solution for some open AI gym environments.

bemova/Q_lambda_reinforcement_learning

Q lambda approach sample in a Reinforcement Learning with python

bemova/Q_reinforcement_learning

Q Reinforcement Learning Samples in python

bemova/sarsa_reinforcement_learning

A reinforcement learning sample in python with sarsa(state, action, reward, next_state, next_action)

bemova/big-data-analytics-course

Laboratory sessions and course outline for Big Data Analytics course at Concordia

bemova/CUDA-Programming

bemova/icarl

PyTorch Implementation of iCaRL

bemova/Quantum-Programming-Q-Sharp

bemova/Tensorflow-Pytorch-Classify-MNIST-Dataset-in-Biger-and-less-than-3

bemova/tower-defense-game-encs6441

Automatically exported from code.google.com/p/tower-defense-encs6441

bemova/Tutorials

Tutorials for creating figures, tables, or other content for AAS Journals.

bemova/Who-To-Follow-Algorithm-for-Massive-Dataset-Mining