The most intuitive, flexible, way for researchers to build models
An MLOps framework to package, deploy, monitor and manage models
FinOps and MLOps platform to run ML/AI and regular cloud workloads
Unified Model Serving Framework
Build AI-powered semantic search applications
Build and deploy machine learning microservices
Standardized Serverless ML Inference Platform on Kubernetes
Flower: A Friendly Federated Learning Framework
Open deep learning compiler stack for cpu, gpu, etc.
Python package built to ease deep learning on graph
Data Version Control | Git for Data & Models
Stanford NLP Python library for many human languages
Light-weight, flexible, expressive statistical data testing library
Training PyTorch models with differential privacy
Petastorm library enables single machine or distributed training
Train machine learning models within Docker containers
OpenMMLab Model Deployment Framework
Test Suites for validating ML models & data
A python library for easy manipulation and forecasting of time series
Powering Amazon custom machine learning chips
Access Java classes from Python
The Pants Build System
Docker image used to run data processing workloads
Python library to compile, build & package AWS Lambda functions
Python version of the Playwright testing and automation library