📈 Data & ML
Apache Beam is a unified programming model for Batch and Streaming data processing.
Feathr – A scalable, unified data and AI engineering platform for enterprise
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Machine Learning Pipelines for Kubeflow
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Models and examples built with TensorFlow
Lime: Explaining the predictions of any machine learning classifier
💫 Industrial-strength Natural Language Processing (NLP) in Python
TFX is an end-to-end platform for deploying production ML pipelines
An Open Source Machine Learning Framework for Everyone
Machine Learning Toolkit for Kubernetes
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Uplift modeling and causal inference with machine learning algorithms
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
the AI-native open-source embedding database
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …