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Updated port for Ardunio support (ATmega168 and ATmega328p)
野狗的开源及贡献
吴恩达老师的机器学习课程个人笔记
Constrained Policy Optimization
Open source crowdfunding platform -
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
JavaScript framework for robotics, drones, and the Internet of Things (IoT)
The DCM-IMU algorithm is designed for fusing low-cost triaxial MEMS gyroscope and accelerometer measurements. An extended Kalman filter is used to estimate attitude in direction cosine matrix (DCM) formation and gyroscope biases online. A variable measurement covariance method is implemented for acceleration measurements to ensure robustness against temporarily non-gravitational accelerations which usually induce errors to attitude estimate in ordinary IMU-algorithms. The code and data will be added after related scientific work is published and open source publication is approved.
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A list of papers and resources dedicated to deep reinforcement learning
Examples of using deep learning in Bioinformatics
Theano-based implementation of Deep Q-learning
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
The original code from the DeepMind article + my tweaks
A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.
Modularized Implementation of Deep RL Algorithms in PyTorch
DeMoN: Depth and Motion Network
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Deep Learning Lab WS 18/19, University of Freiburg
Deep Learning Lab SS19, University of Freiburg
self driving car
Reinforcement Learning Simulator for Donkey Car
An implementation of Deep Q-Network using Caffe
Local localization with an inertial navigation system (INS)
:bulb: Arduino framework for node.js
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
EdgeX Golang Services Monorepo
Effective Robotics Programming with ROS
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.