zdm87 Goto Github PK

18337

18.337 - Parallel Computing and Scientific Machine Learning

ad-papers

Papers on Computational Advertising

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

alewrap

A lua wrapper for the Arcade Learning Environment/xitari.

algorithmsbook

Preview of the textbook Algorithms for Decision Making

analytical_qrc

Codes for generating the figures of the paper "Analytical Evidence of Nonlinearity in Qubits andContinuous-Variable Quantum Reservoir Computing".

anomaly-reactionrl

Using RL for anomaly detection in NSL-KDD

artificial_intelligence

My C++ deep learning framework & other machine learning algorithms

ascad

Side Channels Analysis and Deep Learning

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

awesome-federated-learning-1

federated-learning

awesome-rust-machinelearning

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

c-solutions

My Solutions to K. N. King's "C Programming: A Modern Approach", second edition

carl

Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings

catx

🐈‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

contextual_bandits_tree

Contains Code for Contextual Bandits Decision Tree

contextualbandits

Python implementations of contextual bandits algorithms

cvpr2015

ddpg

Tensorflow implementation of Deep Deterministic Policy Gradients

ddpg-cartpole

Stable and robust control a cartpole with DDPG in continuous actions

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

deepqlearning.jl

Implementation of the Deep Q-learning algorithm to solve MDPs

deeprlexamples.jl

Deep Reinforcement Learning examples using Julia

discrete_mean_field_game

Experiments on a discrete mean field game model of population dynamics with reinforcement learning

dpa

Delay Phased Array - New programmable array with delays and phase shift to generate flexible frequency-dependent beams

dqn

Lua/Torch implementation of DQN (Nature, 2015)

echobay