FastFold VS autocvd

Compare FastFold vs autocvd and see what are their differences.

FastFold

Optimizing AlphaFold Training and Inference on GPU Clusters (by hpcaitech)

autocvd

Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code. (by jonasricker)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
FastFold autocvd
2 1
506 1
- -
0.0 4.4
10 months ago 11 months ago
Python Python
Apache License 2.0 MIT License
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.

FastFold

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

autocvd

Posts with mentions or reviews of autocvd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

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

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

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.

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

g2eth - Get mining specs on given GPUs

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

autocvd-go - A golang cli tool for setting `CUDA_VISIBLE_DEVICES` based on GPU utilization.

torchrec - Pytorch domain library for recommendation systems

foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.