determined-ai / works-with-determinedLinks
This repository contains example integrations between Determined and other ML products
☆48Updated last year
Alternatives and similar repositories for works-with-determined
Users that are interested in works-with-determined are comparing it to the libraries listed below
Sorting:
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆93Updated last year
- A top-like tool for monitoring GPUs in a cluster☆85Updated last year
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated 8 months ago
- yogadl, the flexible data layer☆74Updated 2 years ago
- A curated list of examples that use Pachyderm to accomplish various tasks.☆63Updated last year
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆67Updated last year
- Incubating project for xgboost operator☆77Updated 3 years ago
- MLFlow Deployment Plugin for Ray Serve☆45Updated 3 years ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆366Updated 2 weeks ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 5 years ago
- MLOps Python Library☆119Updated 3 years ago
- Distributed XGBoost on Ray☆148Updated 11 months ago
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆93Updated 11 months ago
- FIL backend for the Triton Inference Server☆79Updated 2 weeks ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆157Updated 6 months ago
- Determined AI public environments☆49Updated 9 months ago
- Ray-based Apache Beam runner☆42Updated last year
- Distributed ML Optimizer☆32Updated 3 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 2 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆442Updated 2 years ago
- Introduction to Ray Core Design Patterns and APIs.☆70Updated last year
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Tools for MLflow☆37Updated last year
- Plugin for deploying MLflow models to TorchServe☆109Updated 2 years ago
- Management Dashboard for Torchserve☆122Updated 2 years ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 3 years ago
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆136Updated 2 years ago