cnn-gan Goto Github PK

distributional_perspective_on_rl

Implementation of A Distributional Perspective on Reinforcement Learning

dl-template

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

doom-net-pytorch

Reinforcement learning models in ViZDoom environment

dqn_vs_dsr-learning-on-grid-based-domain-and-game-engines

Using Successor Representation as a Reinforcement Learning framework approach on two diverse environments given raw pixel observations - from Mazebase and DOOM

draw_convnet

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

elf

An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games

focused_slam

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

ga3c-deepnavigation

Implementation of DeepMind paper - "Learning to Navigate in Complex Environments"

gan_velo

gan_works

A framework include all the recent trends on Generative-Models

generative-models

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

gman

GANs with multiple Discriminators

map-feature

A GAN framework for map feature extraction

map-reader

Tensorflow implementation of the map reading algorithm described in ‘Teaching a Machine to Read Maps with Deep Reinforcement Learning’

mlsh

mobilenet

MobileNet build with Tensorflow

models

Models and examples built with TensorFlow

multitask-and-transfer-learning

Benchmark and build RL architectures that can do multitask and transfer learning.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

neuroevolution

Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

objectslam

places365

The Places365-CNNs for Scene Classification

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation