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TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
A PyTorch native platform for training generative AI models
Efficient Triton Kernels for LLM Training
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
DeepGNN is a framework for training machine learning models on large scale graph data.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production a…
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs.
Interpretability and explainability of data and machine learning models
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Source code for the X Recommendation Algorithm
A conda-smithy repository for kfp-tekton.
Curated list of awesome tools for managing open source programs
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit to run Ray applications on Kubernetes
Elyra extends JupyterLab with an AI centric approach.
A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀
Bootstrap Kubernetes the hard way. No scripts.
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
Official electron build of draw.io
A kubernetes based framework for hassle free handling of datasets
Experimental project plugging Tekton yaml behind KFP API and UI engine