alphafold2
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released (by lucidrains)
Tullio.jl
⅀ (by mcabbott)
Our great sponsors
alphafold2 | Tullio.jl | |
---|---|---|
1 | 4 | |
1,501 | 583 | |
- | - | |
0.0 | 5.2 | |
over 1 year ago | 5 months ago | |
Python | Julia | |
MIT License | 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.
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.
alphafold2
Posts with mentions or reviews of alphafold2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-09.
-
A basic introduction to NumPy's einsum
* Example: https://github.com/lucidrains/alphafold2/blob/d59cb1ea536bc5...
Tullio.jl
Posts with mentions or reviews of Tullio.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-09.
- A basic introduction to NumPy's einsum
- Generic GPU Kernels
-
Julia: Faster than Fortran, cleaner than Numpy
Julia ships with OpenBLAS, in some cases there are pure-Julia "blas-like" routine that can be as fast:
https://github.com/mcabbott/Tullio.jl