FastFold VS openfold

Compare FastFold vs openfold and see what are their differences.

FastFold

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

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2 (by aqlaboratory)
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FastFold openfold
2 3
506 2,392
- 1.3%
0.0 9.4
10 months ago about 8 hours 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.

FastFold

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

openfold

Posts with mentions or reviews of openfold. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-22.

What are some alternatives?

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

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

af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

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

ProteinStructurePrediction - Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

torchrec - Pytorch domain library for recommendation systems

tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

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.

Senpwai - A desktop app for tracking and batch downloading anime

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