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A Deep Reinforcement Learning Network for Traffic Light Cycle Control
Data augmentation using synthetic data for time series classification with deep residual networks
Python speech assist app
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Content for Udacity's AI in Trading NanoDegree.
AR app for indoor navigation using ARcore and Sceneform.
Avatars for Zoom, Skype and other video-conferencing apps.
Beacons Indoor Positioning System using BLE beacons. Node.js HTTP server and iOS/Android client developed using ReactNative framework.
Multilateration using bluetooth beacons
Application to get rssi value fro Bluetooth device
Simulate the RSSI of a Bluetooth device received at multiple base stations. Uses MQTT to stream data.
generating chest x-rays with GANs
Benchmarks for popular CNN models
Jupyter notebooks and python scripts for investigating the 2019 coronavirus outbreak
Quiz & Assignment of Coursera
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
CoronaRank: modeling to assess the likelihood of coronavirus exposure
COVID-Net Open Source Initiative
Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
Conditional WaveGAN: Generating audio samples conditioned on class labels
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
A sample code of data augmentation methods for wearable sensor data (time-series data)
Data augmentation using Conditional Generative Adversarial Networks (cGAN)
We're generating faces with Pytorch GAN implementations
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
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.