shercklo Goto Github PK
Name: Ke Xue
Type: User
Company: Nanjing University
Bio: Ph.D. Student at Nanjing University
Location: Nanjing, China
Name: Ke Xue
Type: User
Company: Nanjing University
Bio: Ph.D. Student at Nanjing University
Location: Nanjing, China
Evolutionary Algorithm using Python
A self learning autonomous vehicle based on NEAT(evolutioniary neural network)
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.
A New Optimization Technique for Deep Neural Networks
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
Guided Evolutionary Strategies
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.
The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
A minimalist environment for decision-making in autonomous driving
[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
The release codes of LA-MCTS with its application to Neural Architecture Search.
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
Source code for ICLR 2020 paper: "Learning to Guide Random Search"
[NeurIPS 2019] LOIS: Learning to Optimize In Swarms, guided by posterior estimation
Code for the paper "Learning Step-Size Adaptation in CMA-ES"
Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”
Jupyter notebook for the MAP-Elites algorithms (Mouret & Clune, 2015)
Official implementation of NeurIPS 22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
Implementation of the Meta Learning Black-Box Population-Based Optimizers paper
Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Multi-Objective Reinforcement Learning
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
To be the world's best PyTorch project template.
11 neural architecture search (NAS) algorithms implemented in PyTorch.
This is a mirror of https://agit.ai/Polixir/NeoRL.git
1st Solution For NeurIPS 2021 Competition on ML4CO Dual Task
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.