Code related to blog posts on my Medium page

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

Using approximate bayesian posteriors in deep nets for active learning

Deep Learning Zero to All - Pytorch

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Automatically exported from code.google.com/p/music-synthesizer-for-android

风格迁移三部曲

A collection of the latest AWS Security workshops

Kubeflow’s superfood for Data Scientists

Data and code behind the Economist's Graphic Detail section.

Core Data of HowNet and OpenHowNet Python API

Google Cloud Datalab samples and documentation

Tutorials and programming exercises for learning Q# and quantum computing

Microsoft Azure Traces

tutorial notebooks

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Awesome Artificial Intelligence Projects