tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

swift

Swift for TensorFlow

docs

TensorFlow documentation

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ChineseNlpCorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

annotated-transformer

An annotated implementation of the Transformer paper.