torchsynth
gluonts
| torchsynth | gluonts | |
|---|---|---|
| 2 | 4 | |
| 318 | 4,347 | |
| 1.3% | 3.2% | |
| 6.1 | 8.7 | |
| about 1 month ago | 13 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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torchsynth
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Is there any AI sound generator that is not voice?
One Billion Audio Sounds from GPU-enabled Modular Synthesis - Synthesizing modular synths. Code here.
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Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces (2020)
https://www.cv-foundation.org/openaccess/content_cvpr_2016/p...
This concept has not (yet) been applied in audio ML. We have a paper in submission---will be on ArXiv soon---where we share a GPU-enabled modular synthesizer that is 16000x faster than realtime, concurrently released with a 1-billion audio sample corpus that is 100x larger than any audio dataset in the literature. Here's the code: https://github.com/torchsynth/torchsynth
gluonts
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Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
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gluonts VS darts - a user suggested alternative
2 projects | 13 Apr 2023
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[Q] `py.typed` and `.typesafe`
I was looking at [`gluonts`](https://github.com/awslabs/gluonts/tree/dev/src/gluonts/core) source code and I found a `py.typed` file. That is something I always put in my type-annotated modules: it's literally an empty file which denotes that the module is marked for "internal or external use in type checking" [mypy docs](https://mypy.readthedocs.io/en/stable/installed_packages.html?highlight=py.typed#creating-pep-561-compatible-packages). However, I never saw before the `.typesafe` file. What does it denote? Does it have to be used alongside a `py.typed`?
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Cash-flow forecasting
-GluonTS
What are some alternatives?
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
bittensor - Internet-scale Neural Networks
pytorch-forecasting - Time series forecasting with PyTorch
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
tsai - Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
chronos-forecasting - Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting