The fundamental package for scientific computing with Python.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A Java/Android library for communicating with the Signal messaging service.

Portable OpenSSH

scikit-learn: machine learning in Python

Stanford CoreNLP: A Java suite of core NLP tools.

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Open Source Neural Machine Translation in PyTorch

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

Models and examples built with TensorFlow

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Computation using data flow graphs for scalable machine learning

Protein contacts prediction using deep learning models

A curated list of papers, code and resources pertaining to zero shot learning

Continuous Unix commit history from 1970 until today

VIP cheatsheets for Stanford's CS 230 Deep Learning

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

The "Python Machine Learning (2nd edition)" book code repository and info resource

Build a Jekyll blog in minutes, without touching the command line.

Friendly machine learning for the web! 🤖

Assignments for CS294-112.

Provides named query parameter capability to JDBC PreparedStatements