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Query-by-committee(QBC)
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
parse arxiv papers and push it to notion
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Automated Scalable Bayesian Inference
Bayesian Python: Bayesian inference tools for Python
COMOB (COntaminat MOnitoring in Buildings), a MATLAB toolbox which encapsulates the CONTAM computational engine for generating multiple data sets by varying different building parameters. State-of-the-art algorithms for sensor placement, detection and isolation of contaminant sources are also incorporated into the COMOB toolbox.
Cheat Sheets
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
Main code and data for paper "Evaluating Intervention Strategies with A Fine-grained Artificial Society towards Pareto Optimum"
matlab实现ESTI-CS算法
利用基于python的Numpy矩阵运算库实现ESTI-CS算法
Multivariate imputation and matrix completion algorithms implemented in Python
HelloworldBlockchain是一个Helloworld级别的区块链公链系统。HelloworldBlockchain是一个Helloworld级别的数字货币项目。
This is a python implementation of Query By Committee Made Real by Gilad-Bachrach et al.
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
A repo lists papers related to LLM based agent
R implementation of the active matrix completion algorithm in the paper ”Matrix Completion with Queries”
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
All Algorithms implemented in Python
Python - 100天从新手到大师
Simple Reinforcement learning tutorials
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
This is a prototype implementation of smart contracts for SLA. It is based on Ethereum.
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.