Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Lightweight and extensible compatibility layer between dataframe libraries!
Pusher server implementation compatible with Pusher client libraries.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
- natural-language-processing
- nlp
- big-data
- data-mining
A set of .NET projection libraries
- event-sourcing
- c-sharp
- sql
- projections
A set of open-source .NET libraries helping with DDD (domain-driven design) and CQRS (command query responsibility segregation).
- ddd
- cqrs
- nhibernate
- asp-net-core
Powerful pipes for TypeScript, that chain Promise and ADT for you 🚌 -> ⛰️ -> 🚠 -> 🏂 -> 🚀
- pipe
- pipeline
- kleisli
- ramda
The core libraries of the teknek stream processing platform