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Andrew's Projects

agents icon agents

Efficient Batched Reinforcement Learning in TensorFlow

arctic icon arctic

High performance datastore for time series and tick data

ars icon ars

An implementation of the Augmented Random Search algorithm

async-rl icon async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

async-rl-1 icon async-rl-1

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

awesome-pipeline icon awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

backtrader icon backtrader

Python Backtesting library for trading strategies

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bear icon bear

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

btgym icon btgym

Scalable, event-driven, deep-learning-friendly backtesting library

capslayer icon capslayer

CapsLayer: An advanced library for capsule theory

chaos icon chaos

Singular Spectrum Analysis methods implementation in Python

clipper icon clipper

A low-latency prediction-serving system

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

deeprl-agents icon deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

dnc icon dnc

A TensorFlow implementation of the Differentiable Neural Computer.

drl icon drl

Deconfounding Reinforcement Learning in Observational Settings

far-ho icon far-ho

Gradient based hyperparameter optimization package for TensorFlow

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