torchsynth
FastFold
| torchsynth | FastFold | |
|---|---|---|
| 2 | 2 | |
| 318 | 506 | |
| 1.3% | - | |
| 6.1 | 0.0 | |
| about 1 month ago | 10 months 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
FastFold
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👉 Impressed With AlphaFold? Checkout This Protein Structure Prediction Model (FastFold) That Reduces AlphaFold’s Training Time From 11 Days To 67 Hours
Code for https://arxiv.org/abs/2203.00854 found: https://github.com/hpcaitech/FastFold
Github: https://github.com/hpcaitech/FastFold
What are some alternatives?
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
openfold - Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
bittensor - Internet-scale Neural Networks
warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
torchrec - Pytorch domain library for recommendation systems
TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.