mabirck Goto Github PK

adaptative-dropout-pytorch

Pytorch implementation of Adaptative Dropout a.ka Standout.

and-nd-firebase

Course code repository for Firebase in a Weekend by Google: Android

androidudacity

Udacity course, implementations and code.

atari-wgan

Implementation of WGAN to generation of Atari Games Images. (GAN, WGAN, ATARI, Generative)

attentiontrl

Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind

berkeley_cs188

Repositorie containing solutions for the Berkeley CS188 class.

breakoutpong

D'ont need one

catastrophicforgetting-ewc

#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"

cs20si_tensorflow4dl_research

Code and stuff from Stanford course on Tensorflow

cs294-deeprl

My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

deep_rl_bootcamp

Solutions for the labs in Deep RL Bootcamp.

deeplearning_tutorials

Plenty of Deep Learning resources in companion with notebooks, for learning purposes.

dqn

DQN implementation in Keras + TensorFlow + OpenAI Gym

generic_seq2seq

I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.

geo_classifier_siamese_nn

Geolocation generic classifier using siamese neural networks using TensorFlow and Keras.

graphium

Let me try pimp a city with amazing graffitis

imtt_cnn

ipythonnb

Repository with lots of useful ipython notebooks

joint_ppo_pytorch

Extension of https://github.com/ikostrikov/pytorch-a2c-ppo-acktr, making it feasible to run train on multiple games simultaneously.

joint_tf_ppo

Extension of https://github.com/openai/baselines, making it feasible to run train on multiple games simultaneously.

locally-competitive-a2c

mabirck.github.io

maml_reptile_pytorch

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" in PyTorch

modular_deeprl

Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED

our-daily-paper

Paper List I have read or will read, just to keep control. (I should have done this before!!!)

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-ewc

PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

pytorch-lr-scheduler

Bring some LR schedulers from Keras to PyTorch.