deferred-folds VS NoLabs

Compare deferred-folds vs NoLabs and see what are their differences.

deferred-folds

Abstractions over deferred folds (by nikita-volkov)
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deferred-folds NoLabs
- 1
8 75
- -
6.4 9.7
5 months ago 4 days ago
Haskell Python
MIT License MIT License
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deferred-folds

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

We haven't tracked posts mentioning deferred-folds yet.
Tracking mentions began in Dec 2020.

NoLabs

Posts with mentions or reviews of NoLabs. We have used some of these posts to build our list of alternatives and similar projects.
  • Open source AI biolab early days
    1 project | /r/deeplearning | 4 Sep 2023
    I'm quite new to biotech/drug discovery and don't have money for my own lab, so I decided maybe it's possible to create one with AI/ML stuff. I created this open source project with a friend of mine https://github.com/BasedLabs/NoLabs

What are some alternatives?

When comparing deferred-folds and NoLabs you can also consider the following projects:

goerr-nvim - fold go `if err != nil` and show other lines

speed-camera - A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app allows remotely controller camera configuration from a remote storage service name. Uses sqlite3 and gnuplot for reporting. Recently added openalpr license plate reader support.

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.