Open Source, Distributed, RESTful Search Engine
A generic dynamo implementation for different k-v storage engines
An Open Source Machine Learning Framework for Everyone
PlaidML is a framework for making deep learning work everywhere.
A Hyper-Relational Database for Knowledge-Oriented System
Distributed training framework for TensorFlow.
Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet.
A python package that provides Tensor computation (like numpy) with strong GPU acceleration and Deep Neural Networks built on a tape-based autograd system
A very simple framework for state-of-the-art NLP
A transactional, high-performance database for building distributed cloud services. It supports Cassandra-compatible and Redis-compatible APIs, with PostgreSQL in Beta.
Airflow is a platform to programmatically author, schedule and monitor workflows
Deep Learning for humans
Microsoft Cognitive Toolkit (CNTK)
Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters
ClickHouse is a free analytic DBMS for big data.
Column oriented distributed data store ideal for powering interactive applications
Spark is a fast and general cluster computing system for Big Data
MNN is a lightweight deep neural network inference engine.
Caffe: a fast open framework for deep learning.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms
A high-performance neural network inference framework optimized for the mobile platform
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Vitess is a database clustering system for horizontal scaling of MySQL.
A customisable 3D platform for agent-based AI research
Kafka™ is used for building real-time data pipelines and streaming apps
Apache Solr is a search engine server that uses Apache Lucene
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services
Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation