DenXX

tensorflow

An Open Source Machine Learning Framework for Everyone

kubernetes

Production-Grade Container Scheduling and Management

marked

A markdown parser and compiler. Built for speed.

shap

A game theoretic approach to explain the output of any machine learning model.

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

causalml

Uplift modeling and causal inference with machine learning algorithms

text

Models, data loaders and abstractions for language processing, powered by PyTorch

dynet

DyNet: The Dynamic Neural Network Toolkit

pylearn2

Warning: This project does not have any current developer. See bellow.

deepdive

DeepDive

luke

This is mavenised Luke: Lucene Toolbox Project

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

everpad

Evernote client well integrated with linux desktop

iepy

Information Extraction in Python

tomita-parser

Stack-RNN

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

wormhole

Deprecated

key-value-memory-networks

The implementation of key value memory networks in tensorflow

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

OpenDL

The Deep Learning training framework on Spark

openccg

OpenCCG library for parsing and realization with CCG

oqa

Open Question Answering

clearnlp

Fast and robust NLP components implemented in Java.

relationfactory

End-to-end relation extraction and knowledge base population pipeline.

exemplar

An open relation extraction system

KbBridge

Knowledge Base Bridge - Entity linking system

vips

Visual-based Page Segmentation