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a-deep-reinforcement-learning-network-for-traffic-light-cycle-control

A Deep Reinforcement Learning Network for Traffic Light Cycle Control

aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

alexis_speech_assistant

Python speech assist app

applying_eanns

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.

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

augmentedrealityindoornavigation

AR app for indoor navigation using ARcore and Sceneform.

avatarify

Avatars for Zoom, Skype and other video-conferencing apps.

beacons-indoor-positioning-system

Beacons Indoor Positioning System using BLE beacons. Node.js HTTP server and iOS/Android client developed using ReactNative framework.

ble-beacon-indoor-positioning

ble-indoor-positioning

Multilateration using bluetooth beacons

bluetooth-rssi

Application to get rssi value fro Bluetooth device

bluetooth_sim

Simulate the RSSI of a Bluetooth device received at multiple base stations. Uses MQTT to stream data.

chest-gan

generating chest x-rays with GANs

cnn-benchmarks

Benchmarks for popular CNN models

coronavirus-ds

Jupyter notebooks and python scripts for investigating the 2019 coronavirus outbreak

coursera

Quiz & Assignment of Coursera

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-hackathon

CoronaRank: modeling to assess the likelihood of coronavirus exposure

covid-net

COVID-Net Open Source Initiative

covidmaroc

covnet

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

cwavegan

Conditional WaveGAN: Generating audio samples conditioned on class labels

data-augmentation-and-segmentation-with-gans-for-medical-images

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.

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

data-augmentation-using-cgan

Data augmentation using Conditional Generative Adversarial Networks (cGAN)

data-augmentation-with-gan-and-vae

We're generating faces with Pytorch GAN implementations

data-science-learning

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

dcgan-dog-generator

DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

deep-qlearning-agent-for-traffic-signal-control

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.