spektral VS deepNOID

Compare spektral vs deepNOID and see what are their differences.

deepNOID

deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED (by EoinM96)
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spektral deepNOID
3 1
2,345 4
- -
5.7 0.0
3 months ago about 3 years ago
Python Python
MIT License -
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.

spektral

Posts with mentions or reviews of spektral. We have used some of these posts to build our list of alternatives and similar projects.

deepNOID

Posts with mentions or reviews of deepNOID. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing spektral and deepNOID you can also consider the following projects:

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