Data loaders and abstractions for text and NLP
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels combo with new novel algorithms.
Module for automatic summarization of text documents and HTML pages.
fast image augmentation library and easy to use wrapper around other libraries
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A platform that helps you build, manage and monitor deep learning models
An experimental distributed execution engine
A toolkit for making real world machine learning and data analysis applications in C++
A high-level library to help with training neural networks in PyTorch.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly
Python Data Structures for Humans™.
A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
Mycroft Core, the Mycroft Artificial Intelligence platform.
A Time Series Library for Apache Spark
A Neural Net Training Interface on TensorFlow
Python Library for Model Agnostic Interpretation
Microsoft Machine Learning for Apache Spark
TensorFlow-based neural network library
Open source time series library for Python
Distributed Deep learning Library for Apache Spark
A library that provides an storage abstraction and client-coordinated distributed transaction on top of Cassandra
The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
Julia implementation of the scikit-learn API. ScikitLearn.jl supports both models from the Julia ecosystem and those of the scikit-learn library.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Industrial-strength Natural Language Processing (NLP) with Python and Cython
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Model summary in PyTorch similar to 'model.summary()' in Keras
Unify the way you interact with your data
Machine learning in Clojure