Programming with Python for Data Science Microsoft

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

Practical Notebooks for the Deep Learning Indaba 2018

Smile detection with a deep convolutional neural net, with Keras.

High-quality Neural Networks for Computer Vision 😎

Control your lights with dab and t-pose, duh

A Wikidata Python module integrating the MediaWiki API and the Wikidata SPARQL endpoint

Solutions for Automate the Boring Stuff with Python

Examples of single-cell genomic analysis accelerated with RAPIDS

Keras implementation of Sketch RNN

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

A neural conversation model

Causal Graphical Models in Python

A combination of Autoencoder and Robust PCA

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm