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discrete-optimization-001

Coursera Discrete Optimization course programming assignments source code

draw.io

draw_convnet

drl_papernotes

Notes and comments about Deep Reinforcement Learning papers

earthengine

Change Detection with Google Earth Engine Imagery

ehumss.github.io

emotion-recognition

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

fast-neural-style

Feedforward style transfer

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

free-python-games

Free Python Games

gan-papers

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph-coloring

Graph Coloring Implementation for Discrete Optimization

grasping-ros-tutorial

A tutorial on how to execute and visualize grasps by the PR2 in Gazebo

gym

A toolkit for developing and comparing reinforcement learning algorithms.

high-res-neural-inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

historyobjectrecognition

hypersrcnn

Hyperspectral Superresolution via CNN

image-super-resolution

Implementation of Super Resolution CNN in Keras.

itu-blu537e-data-analysis-and-visualisation

Assignment Solutions

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

knapsack

This is the dynamic programming, branch and bound and branch and bound low memory solver to solve large instances of the knapsack problem. This was written as part of the course Discrete Optimization on Coursera by Professor. Pascal Van Hentenryck of University of Melbourne.

learning_geometry_images

machine-learning

My machine learning samples based on the "Introduction to Machine Learning, 2nd Ed." of Ethem Alpaydin and data sets at http://archive.ics.uci.edu/ml/datasets.html

matlab-toolboxes

Contains all my Matlab toolboxes.

models

Models built with TensorFlow