gnn VS openvino_notebooks

Compare gnn vs openvino_notebooks and see what are their differences.

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. (by tensorflow)

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™ (by openvinotoolkit)
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gnn openvino_notebooks
3 80
1,280 1,972
1.9% 4.2%
9.3 9.9
12 days ago 5 days ago
Python Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gnn

Posts with mentions or reviews of gnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

openvino_notebooks

Posts with mentions or reviews of openvino_notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-06.

What are some alternatives?

When comparing gnn and openvino_notebooks you can also consider the following projects:

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

chdb - chDB is an embedded OLAP SQL Engine 🚀 powered by ClickHouse

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deepeval - The LLM Evaluation Framework

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)

gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

diffnet - Graph Neural Network based Social Recommendation Model. SIGIR2019.

starcoder - Home of StarCoder: fine-tuning & inference!

ncem - Learning cell communication from spatial graphs of cells

netron - Visualizer for neural network, deep learning and machine learning models