A high-level machine learning library that allows you to build programs that learn from data using the PHP language.
GPU- and TPU-backed NumPy with differentiation and JIT compilation.
Efficiently computes derivatives of numpy code.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more
Friendly machine learning for the web!
The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A Modern Library for 3D Data Processing
Data loaders and abstractions for text and NLP
A framework for reproducible reinforcement learning research
A very simple framework for state-of-the-art NLP
A foundational python library for computer vision research and supports many research projects in MMLAB
Build Graph Nets in Tensorflow
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Image augmentation for machine learning experiments.
A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems
Deep Learning Toolkit for Medical Image Analysis
A tensor-based unified framework for large-scale data computation.
A computer algebra system written in pure Python
A Deep Learning and Reinforcement Learning Library for Researchers and Engineers
AI on Hadoop
A hardware-accelerated deep learning library for the web.
A deep reinforcement learning library built on top of Chainer.
The Embedded Learning Library allows you to build and deploy machine-learned pipelines onto embedded platforms, like Raspberry Pis, Arduinos, micro:bits, and other microcontrollers.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares
General natural language facilities for node