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actor_critic

This repository explains the importance of incorporating entropy in policy gradient algorithms.

actor_critic_dqn

avacado

batch_normalization

beyond_dqn

You can find the blog related to this repository here

blog

coding_interview

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

coursera_predict_future_sales

craiglist

cs61a

dark_knowledge

Learn about making a smaller network as good as a big ensemble model that can accelarate inference time.

dpg

dqn

A short tutorial about tips and tricks used in implementation of Deep Q-networks that helped in creating a first AI that can successfully play Atari.

fsdl-text-recognizer-project

Full Stack Deep Learning Bootcamp Project (Public)

gan

gvae

Geometric Variational Auto Encoder

hacker-rank

This repository contains the solutions of the problems I solved in the websites www.hackerrank.com.

homedepot

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

karpathy_class

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras_learning

language_modeling

pcl

PCL is a powerful algorithm for handling the off-policy data. Please find more details in here.

pg

pg_rnn

There are few caveats when you want to use a Recurrent Neural Network (RNN) policy with Policy Gradient Algorithms. This repository explains them and provide a solution for them. Please see the blog for more details.

pg_rnn_baseline

pgq

PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.