Create UIs for your machine learning model in Python in 3 minutes
Vector database for scalable similarity search and AI applications
Data science spreadsheet with Python & SQL
A framework for real-life data science
A reactive notebook for Python
Streamline your ML workflow
Simple and distributed Machine Learning
.NET Standard bindings for Google's TensorFlow for developing models
Explainability and Interpretability to Develop Reliable ML models
Modest natural-language processing
The data structure for multimodal data
Detecting silent model failure. NannyML estimates performance
For building machine learning (ML) workflows and pipelines on AWS
Data science on data without acquiring a copy
Best practices on recommendation systems
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
A library of extension and helper modules for Python's data analysis
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
A Python Automated Machine Learning tool that optimizes ML
An API Oriented Open-source Python Framework for Unsupervised Learning
Build and deploy machine learning microservices
Continuous Machine Learning | CI/CD for ML
Build MLOps Pipelines in Minutes
An open-source NLP research library, built on PyTorch