TransformerEngine VS FastFold

Compare TransformerEngine vs FastFold 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)

FastFold

Optimizing AlphaFold Training and Inference on GPU Clusters (by hpcaitech)
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TransformerEngine FastFold
2 2
1,428 506
13.1% -
9.5 0.0
4 days ago 10 months ago
Python Python
Apache License 2.0 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.

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.

FastFold

Posts with mentions or reviews of FastFold. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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

torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

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

openfold - Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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

ivy - The Unified AI Framework

torchrec - Pytorch domain library for recommendation systems

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

fastaudio - 🔊 Audio and fastai v2

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