FastFold VS warp-drive

Compare FastFold vs warp-drive and see what are their differences.

FastFold

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

warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022) (by salesforce)
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FastFold warp-drive
2 1
506 434
- 0.9%
0.0 8.1
10 months ago 14 days ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

warp-drive

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

What are some alternatives?

When comparing FastFold and warp-drive you can also consider the following projects:

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

Simple-MADRL-Chess - MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.

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

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.

torchrec - Pytorch domain library for recommendation systems

simba-ps - Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.

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

chainer - A flexible framework of neural networks for deep learning

jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

cog - Containers for machine learning