MenstruatioNN VS speech-music-detection

Compare MenstruatioNN vs speech-music-detection and see what are their differences.

MenstruatioNN

LSTM to predict menstruation and menstrual cycles. (by lenakmeth)

speech-music-detection

Python framework for Speech and Music Detection using Keras. (by qlemaire22)
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MenstruatioNN speech-music-detection
1 1
10 91
- -
4.1 0.0
almost 2 years ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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MenstruatioNN

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

speech-music-detection

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

What are some alternatives?

When comparing MenstruatioNN and speech-music-detection you can also consider the following projects:

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics

librosa - Python library for audio and music analysis

Machine-Learning-Game-Ideas - Game ideas generation using neural networks

speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech

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.

NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

BCDU-Net - BCDU-Net : Medical Image Segmentation

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.