abhishm

abhishm.github.io

Build a Jekyll blog in minutes, without touching the command line.

actor_critic

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

actor_critic_dqn

beyond_dqn

You can find the blog related to this repository here

cs61a

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.

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.

PGQ

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

policy_gradient_learning_exercises

vae_class_imbalance

You can find the blog related to this repository here

abhishm/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.

abhishm/PGQ

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

abhishm/vae_class_imbalance

You can find the blog related to this repository here

abhishm/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.

abhishm/cs61a

abhishm/beyond_dqn

You can find the blog related to this repository here

abhishm/policy_gradient_learning_exercises

abhishm/abhishm.github.io

Build a Jekyll blog in minutes, without touching the command line.

abhishm/actor_critic

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

abhishm/batch_normalization

abhishm/blog

abhishm/competitive-data-science

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

abhishm/coursera_predict_future_sales

abhishm/dark_knowledge

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

abhishm/dpg

abhishm/fsdl-text-recognizer-project

Full Stack Deep Learning Bootcamp Project (Public)

abhishm/gan

abhishm/gVAE

Geometric Variational Auto Encoder

abhishm/interactive-coding-challenges

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

abhishm/karpathy_class

abhishm/keras

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

abhishm/keras_learning

abhishm/language_modeling

abhishm/PCL

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

abhishm/pg

abhishm/pg_rnn_baseline

abhishm/reinforcementLearning

abhishm/RNN_from_learning_to_learn

abhishm/varying_length_input

abhishm/yummy

Solving the Kaggle problem for predicting cuisines based on ingredients