Starter files for Pluralsight course: Understanding Machine Learning with Python

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Statistical Rethinking (2nd ed.) with NumPyro

An example attention network with simple dataset.

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

LSTMS for Predictive Maintenance

18.S096 three-week course at MIT

构建医疗实体识别的模型，包含词典和语料标注，基于python构建

Pytorch implementation of set transformer

On the "steerability" of generative adversarial networks

computational zoom from raw sensor data

a toolkit for working with Oxford nanopore data

Tutorial covering Open Source tools for Source Separation.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Udacity Project - Vehicle Detection

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Tensorflow notes

Example Machine Learning Scripts for Numerai's Tournament

Deep learning based speech source separation using Pytorch