Pinned Repositories
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
CVRP
Capacitated VRP using Gurobi
itu-blu537e-data-analysis-and-visualisation
Assignment Solutions
MSRN_PyTorch
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution".
NTIRE2017
Photo-Realistic-Super-Resoluton
Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
pixel-cnn
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
SRGAN-Satellite
Super-Resolution on Earth Observation Dataset by using SRGAN
youtube-8m
Starter code for working with the YouTube-8M dataset.
ehumss's Repositories
ehumss/CVRP
Capacitated VRP using Gurobi
ehumss/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
ehumss/awesome-computer-vision
A curated list of awesome computer vision resources
ehumss/dcgan_code
Deep Convolutional Generative Adversarial Networks
ehumss/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ehumss/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
ehumss/DeepLearningBook
MIT Deep Learning Book in PDF format
ehumss/DeepNetsForEO
Deep networks for Earth Observation
ehumss/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
ehumss/draw.io
ehumss/earthengine
Change Detection with Google Earth Engine Imagery
ehumss/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ehumss/free-python-games
Free Python Games
ehumss/GAN-Papers
ehumss/ganhacks
starter from "How to Train a GAN?" at NIPS2016
ehumss/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
ehumss/models
Models built with TensorFlow
ehumss/NTIRE2017
ehumss/pix2pix
Image-to-image translation with conditional adversarial nets
ehumss/pixel-recursive-super-resolution
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
ehumss/PyTorch-ActorCriticRL
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
ehumss/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
ehumss/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
ehumss/PyTorch-SRGAN
PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
ehumss/Reinforcement-Learning-Introduction
Code from my blog post & online course
ehumss/srcnn
Super Resolution for Satellite Imagery
ehumss/srez
Image super-resolution through deep learning
ehumss/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
ehumss/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
ehumss/tensorlayer
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.