MenstruatioNN
Spectrum
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| MenstruatioNN | Spectrum | |
|---|---|---|
| 1 | 2 | |
| 10 | 44 | |
| - | - | |
| 4.1 | 0.0 | |
| almost 2 years ago | over 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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.
MenstruatioNN
Spectrum
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AI that generates rap lyrics (Open-Source + Live Demo)
if you want to learn more about or see the code you can check out the Github( https://github.com/YigitGunduc/Spectrum) repo
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AI that generates rap music lyrics (ml/dl) (Open-Source)
yes flask for the backend and bootstrap for the frontend (here is the code fo the web app : https://github.com/YigitGunduc/Spectrum/tree/master/WebApp)
What are some alternatives?
Machine-Learning-Game-Ideas - Game ideas generation using neural networks
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
speech-music-detection - Python framework for Speech and Music Detection using Keras.
textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
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.
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
BCDU-Net - BCDU-Net : Medical Image Segmentation
Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs
ydata-synthetic - Synthetic data generators for tabular and time-series data
RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
nodding-pigeon - Detection and classification of head gestures in videos
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".