spektral
deepNOID
Our great sponsors
spektral | deepNOID | |
---|---|---|
3 | 1 | |
2,345 | 4 | |
- | - | |
5.7 | 0.0 | |
3 months ago | about 3 years ago | |
Python | Python | |
MIT License | - |
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.
spektral
-
New “distilled diffusion models” research can create high quality images 256x faster with step counts as low as 4
But I'm a kamikaze by nature. I'm already learning Keras and Spektral so that I can write GNN's to predict molecular properties.
-
[D] GNN Architecture that inputs and outputs both edge and node features?
I'm aware of Spektral: https://graphneural.network/
-
tf-based framework for graph neural networks?
Has any library emerged as the clear leader in the TensorFlow Graph Neural Network space? A quick search revealed Spektral.
deepNOID
What are some alternatives?
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
muzic - Muzic: Music Understanding and Generation with Artificial Intelligence
graphtransformer - Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Machine-Learning-Game-Ideas - Game ideas generation using neural networks
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
DeepAA - make ASCII Art by Deep Learning