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acme

A library of reinforcement learning components and agents

android-ar-kit

An open source, Geographical based, Augmented Reality library

awesome-marl

A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers

benchmarl

A collection of MARL benchmarks based on TorchRL

boostnote-markdown-cheatsheet

📋 📘 The missing one page markdown feature cheat sheet for Boostnote

botorch

Bayesian optimization in PyTorch

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

discovery-nodejs

This is the Watson Discovery Service Demo

dqn-atari

Deep Q-Learning (DQN) implementation for Atari pong.

droneflight-ros

Ardrone flight using PID.

dynamic-programming---openai

educational

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gridworld-markov-decision-process

Implementing a gridworld from scratch and configuring it as a Markov decision process.

icoomen_ml_model

IcoOmen, a machine learning model which will predict the value of an ICO token after 6 months. This uses historic data that has been aggregated from various public websites and APIs (Application programming interfaces), as well as data that has been manually collected and calculated.

icoomenapi

API layer behind IcoOmen.

image-convolution-using-cuda-c

Image Convolution Using CUDA C

indaba-2018

k-nearest-neighbour-in-c

KNN in C, comparing performance of serial and parallel implementations (implemented in OpenMp).

keras

Deep Learning for humans

knapsackproblem

Knapsack Problem implemented in Python. This includes a Linear Greedy and Quadratic Knapsack Implementation.

loss-landscape

Code for visualizing the loss landscape of neural nets

make-machine-learning

Machine Learning with Scikit-Learn and TensorFlow

monte-carlo-and-temporal-difference

Monte Carlo and Temporal Difference implementation from Chapter 5 and Chapter 6 of Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton.

mountain_climbing_sarsa_semi_gradient

Implementation of SARSA Semi-Gradient Method on the Mountain Car Open AI Environment.

multi-armed-bandit

Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.

neuralnetwork_from_scratch

An implementation of a Fully-connected Neural Network build from Scratch - only using Numpy.

obstacle-tower-rl