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evolutionary-algorithm

Evolutionary Algorithm using Python

evolutionary-neural-network-autonomous-car

A self learning autonomous vehicle based on NEAT(evolutioniary neural network)

github

GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.

gradient-centralization

A New Optimization Technique for Deep Neural Networks

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

grid-world-rl

Value iteration, policy iteration, and Q-Learning in a grid-world MDP.

guided-evolutionary-strategies

Guided Evolutionary Strategies

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hesbo

The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces

highway-env

A minimalist environment for decision-making in autonomous driving

l2o-training-techniques

[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

lamcts

The release codes of LA-MCTS with its application to Neural Architecture Search.

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

lmrs

Source code for ICLR 2020 paper: "Learning to Guide Random Search"

lois

[NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation

lto-cma

Code for the paper "Learning Step-Size Adaptation in CMA-ES"

madac

Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”

map_elites_tutorial

Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)

mcts-vs

Official implementation of NeurIPS 22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

meta-learning-population-based-optimizers

Implementation of the Meta Learning Black-Box Population-Based Optimizers paper

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

morl

Multi-Objective Reinforcement Learning

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

mytemplate

To be the world's best PyTorch project template.

nas-projects

11 neural architecture search (NAS) algorithms implemented in PyTorch.

neorl

This is a mirror of https://agit.ai/Polixir/NeoRL.git

neurips2021-ml4co-kida

1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task

open-l2o

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

overcooked_env_gen

p3s

Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning