sudo_rm_rf
Deep-Learning-Experiments
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| sudo_rm_rf | Deep-Learning-Experiments | |
|---|---|---|
| 1 | 1 | |
| 299 | 1,081 | |
| - | - | |
| 0.0 | 8.3 | |
| 10 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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sudo_rm_rf
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StemRoller – Isolate vocals, drums, bass, and other stems from any song (FOSS)
Yes there are, you can have a look at https://github.com/etzinis/sudo_rm_rf for instance for 2 speakers separation. There is also this one for 3 speakers: https://huggingface.co/speechbrain/sepformer-whamr
Deep-Learning-Experiments
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EEE 197 - Deep Learning
Hello, took the course last sem. Maraming napa-drop sa amin dahil sa difficulty nung assignments pero doable naman. Open-source mismo yung course, available sya sa GitHub: https://github.com/roatienza/Deep-Learning-Experiments
What are some alternatives?
stemroller - Isolate vocals, drums, bass, and other instrumental stems from any song
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
demucs-cxfreeze
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
DeepLearning - Contains all my works, references for deep learning
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
python_autocomplete - Use Transformers and LSTMs to learn Python source code
vid2cleantxt - Python API & command-line tool to easily transcribe speech-based video files into clean text
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
pytorch-deepdream - PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.