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repository to research & share the machine learning articles
A curated list of awesome Python frameworks, libraries, software and resources
A list of recommended research papers and other readings on data visualization
An implementation of Deep Q-Network using Caffe
The GeoSim mobility model simulate the movement of people in cities taking individual and social preferences into account.
This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)
Inverse Reinforcement Learning Argorithms
Implementations of selected inverse reinforcement learning algorithms.
IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)
Deep Reinforcement Learning for Keras.
use DEM and LandCover data to find an optimal route
:book: [译] 笨办法学 Linux
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A python package for estimating conditional logit models.
python implementation of mobility models
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
A paper & resource list of large language models, including course, paper, demo, figures
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
Python Implementation of Reinforcement Learning: An Introduction
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.