1079 Open source projects that are alternatives of or similar to Autokernel

A curated list of awesome links and software libraries that are useful for robots.

Maze Applied Reinforcement Learning Framework

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

The notes for Math, Machine Learning, Deep Learning and Research papers.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Safe Bayesian Optimization

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Deep Reinforcement Learning Framework + Algorithms

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Deep Q-learning for playing flappy bird game

A JavaScript deep learning and reinforcement learning library.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Replicated and optimized community version of Advanced Locomotion System V4 for Unreal Engine 4.26 with additional bug fixes.

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Python library for Reinforcement Learning.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Webpack Google Closure Compiler and Closure Library plugin -

Implementations of Reinforcement Learning Models in Tensorflow

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Teaching Materials for Dr. Waleed A. Yousef

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

My Exploration on Deep Reinforcement Learning Survey

Quiz & Assignment of Coursera

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

[DEPRECATED] Google Closure Compiler plugin for Webpack

Transition an elements reflow when the data changes.

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

A Gentoo Portage configuration for building with -O3, Graphite, and LTO optimizations

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Experimental Global Optimization Algorithm

RFC for common in-memory tensor structure and operator interface for deep learning system

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

优雅的iPhone全尺寸/等比例精准适配工具

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Python implementations of contextual bandits algorithms

Reinforcement learning with unsupervised auxiliary tasks

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

A database of extended cleaning routines for popular Windows PC based maintenance software.

A header-only C++ library for numerical optimization --

Paper reading notes on Deep Learning and Machine Learning

Dead simple, super fast, zero allocation and modular logger for Golang

SMAC: The StarCraft Multi-Agent Challenge

Poker engine for poker AI development in Python

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

A course in reinforcement learning in the wild

A Configurable Recommender Systems Simulation Platform

Learning to trade under the reinforcement learning framework

A curated list of Monte Carlo tree search papers with implementations.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

faster.js is a Babel plugin that compiles idiomatic Javascript to faster, micro-optimized Javascript.

Fast and efficient CSS optimizer for node.js and the Web