Machine Learning automation and tracking
Machine Learning Toolkit for Kubernetes
A retargetable MLIR-based machine learning compiler runtime toolkit
The Compute Library is a set of computer vision and machine learning
Modeling framework for automatically parallelized scientific ML
Machine Learning Pipelines for Kubeflow
Uncover insights, surface problems, monitor, and fine tune your LLM
Segments.ai Python SDK
Open source platform for the machine learning lifecycle
Streamline your ML workflow
Build Anything Sync Anywhere
Test Suites for validating ML models & data
Powering Amazon custom machine learning chips
AWS Libfabric
High performance, cross-platform machine learning for Unity Engine
Python package built to ease deep learning on graph
Interactively analyze ML models to understand their behavior
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
The GPU-powered AI application database
A high-performance ML model serving framework, offers dynamic batching
The standard data-centric AI package for data quality and ML
Tribuo - A Java machine learning library
TFDS is a collection of datasets ready to use with TensorFlow,
A Python Package to Tackle the Curse of Imbalanced Datasets in ML
TikZ figures for concepts in physics/chemistry/ML