Computing with Python functions.

[NO LONGER MAINTAINED] Command-line utility for auto-generating subtitles for any video file

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…

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

Minimal and Clean Reinforcement Learning Examples

Modularized Implementation of Deep RL Algorithms in PyTorch

Tensorforce: a TensorFlow library for applied reinforcement learning

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Gaussian processes framework in python

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Genetic Programming in Python, with a scikit-learn inspired API

Deep Neuroevolution

AWS Glue code samples

Python implementation of the NEAT neuroevolution algorithm

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Run your dbt Core or dbt Fusion projects as Apache Airflow DAGs and Task Groups with a few lines of code

Reinforcement learning environments with musculoskeletal models

Email addresses harvester

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Evolving a neural network with a genetic algorithm.

Beautifully constructed python scripts

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Using reinforcement learning to teach a car to avoid obstacles.