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anogan-tf

Tensorflow Implementation of AnoGAN (Anomaly GAN)

cppn-tensorflow

Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow

efficient-gan-anomaly-detection

gans-from-theory-to-production

Material for the tutorial: "Deep Diving into GANs: from theory to production"

gps

Guided Policy Search

kaggle-web-traffic

1st place solution

mushroom-rl

Python library for Reinforcement Learning experiments.

nbeats_forecast

N-Beats library implementation

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

pde-net

PDE-Net: Learning PDEs from Data

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

practicetensorflow

reinforcementlearning-atarigame

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

tensorflow

An Open Source Machine Learning Framework for Everyone

tutorial

variant-of-cppn-gan

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture