Guim's starred repositories
NYU-DLSP20
NYU Deep Learning Spring 2020
PlotNeuralNet
Latex code for making neural networks diagrams
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
GAN_Theories
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
paper-notes
Random notes on papers, likely a short-term repo.
game-programmer
A Study Path for Game Programmer
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
jmcglone.github.io
Data for jmcglone.com. Includes customization of Bootstrap 3.0. Blog and pages generated by Jekyll. Hosted on GitHub.
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
creative-ai-podcast
It's a podcast akin to grabbing coffee with Creative AI researchers.
neural-enhance
Super Resolution for images using deep learning.