fastaudio VS TransformerEngine

Compare fastaudio vs TransformerEngine and see what are their differences.

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. (by NVIDIA)
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fastaudio TransformerEngine
1 2
165 1,450
0.6% 6.4%
0.0 9.5
5 months ago 6 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

fastaudio

Posts with mentions or reviews of fastaudio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-18.

TransformerEngine

Posts with mentions or reviews of TransformerEngine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-18.

What are some alternatives?

When comparing fastaudio and TransformerEngine you can also consider the following projects:

pytorch-forecasting - Time series forecasting with PyTorch

Whisper - High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model

RealCatTranslator - Project in several phases to ultimately built an app that translate from human to cats and cats to human using deep learning algorithm

autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.

ivy - The Unified AI Framework

warp-drive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

fps_highlights - Make beautiful highlights from FPS vidéos

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.

liberate-fhe - A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters