Skip to content

Entry

Polyaxon

Appears in 9 awesome lists

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

Open github.compolyaxon/polyaxon

Found in these lists

Awesome Big Data

Section: Frameworks · A platform for reproducible and scalable machine learning and deep learning.

ActiveScore 84

AWESOME DATA SCIENCE

Section: Deep Learning Packages

FreshScore 92

Awesome LLMOps

Section: ML Platforms · Machine Learning Management & Orchestration Platform.

ActiveScore 75

Awesome Machine Learning

Section: C++ · A platform for reproducible and scalable machine learning and deep learning.

FreshScore 93

Awesome MLOps

Section: Machine Learning Platform · A platform for reproducible and scalable machine learning and deep learning on kubernetes.

FreshScore 80

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

FreshScore 89

Awesome Pipeline

Section: Workflow platforms · A platform for machine learning experimentation workflow.

FreshScore 86

Awesome Production Machine Learning

Section: Model, Data and Experiment Management · A platform for reproducible and scalable machine learning and deep learning on kubernetes - (Video).

FreshScore 92

Awesome Robotic Tooling

Section: Server Infrastructure and High Performance Computing · A platform for reproducing and managing the whole life cycle of machine learning and deep learning applications.

StaleScore 54

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Netron

Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

In 15 listsDetails

OpenLLM

Production-grade platform for running any open-source LLMs as OpenAI-compatible API endpoints. Supports 50+ models with built-in streaming, batching, and auto-acceleration. Apache 2.0 licensed.

In 10 listsDetails

D3.js

Allows the user to manipulate documents based on data to render charts in SVG.

In 9 listsDetails

torchvision

PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.

In 9 listsDetails

Metabase

Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker

In 8 listsDetails

Keras

Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…

In 8 listsDetails