Awesome Big Data
Section: Machine Learning · An unsupervised machine learning library for graph structured data. Python
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Appears in 7 awesome lists
Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.
Section: Machine Learning · An unsupervised machine learning library for graph structured data. Python
Section: Miscellaneous Tools · An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Section: Frameworks
Section: Python · > An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Section: Python · Python package for unsupervised learning on graph structured data with a scikit-learn like API.
Section: Graph Machine Learning · An unsupervised machine learning library for graph-structured data.
Section: General · Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with 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.
(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.
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…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
"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…
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