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Karate Club

Appears in 7 awesome lists

Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.

Open github.combenedekrozemberczki/karateclub

Found in these lists

Awesome Big Data

Section: Machine Learning · An unsupervised machine learning library for graph structured data. Python

ActiveScore 84

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

FreshScore 92

Awesome Deep Learning

Section: Frameworks

SlowScore 59

Awesome Machine Learning

Section: Python · > An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

FreshScore 93

Awesome Network Analysis

Section: Python · Python package for unsupervised learning on graph structured data with a scikit-learn like API.

FreshScore 80

Awesome Python Data Science

Section: Graph Machine Learning · An unsupervised machine learning library for graph-structured data.

ActiveScore 71

Awesome Data Science with Python

Section: General · Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.

FreshScore 82

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

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Gradio

Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.

In 11 listsDetails

Prefect

Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.

In 11 listsDetails