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Adafruit's BeagleBone IO Python Library
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
new player to this world
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
PyTorch implementations of deep reinforcement learning algorithms and environments
Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"
A theano implementation of Hinton's dropout.
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
A Robust and Efficient Trajectory Planner for Quadrotors
Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Code for "Learning to Reach Goals via Iterated Supervised Learning"
this is a trial to understand the github running motion
Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.
The entry point to the MRS UAV system.
Automatic object XML generation for Mujoco
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
Machine learning, in numpy
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
PRML algorithms implemented in Python
Code for the paper "Exploration by Random Network Distillation"
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.