deepNOID VS Machine-Learning-Game-Ideas

Compare deepNOID vs Machine-Learning-Game-Ideas 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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deepNOID Machine-Learning-Game-Ideas
1 1
4 0
- -
0.0 10.0
about 3 years ago almost 2 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.
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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.

deepNOID

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

We haven't tracked posts mentioning deepNOID yet.
Tracking mentions began in Dec 2020.

Machine-Learning-Game-Ideas

Posts with mentions or reviews of Machine-Learning-Game-Ideas. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Machine-Learning-Game-Ideas yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing deepNOID and Machine-Learning-Game-Ideas you can also consider the following projects:

muzic - Muzic: Music Understanding and Generation with Artificial Intelligence

spektral - Graph Neural Networks with Keras and Tensorflow 2.

DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

MenstruatioNN - LSTM to predict menstruation and menstrual cycles.

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.

nalp - 🗣️ NALP is a library that covers Natural Adversarial Language Processing.