makeMoE VS FLaNK-python-processors

Compare makeMoE vs FLaNK-python-processors and see what are their differences.

makeMoE

From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :) (by AviSoori1x)
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FLaNK-python-processors

Many processors (by tspannhw)
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makeMoE FLaNK-python-processors
3 11
510 4
- -
9.0 7.1
about 1 month ago 24 days ago
Jupyter Notebook Python
MIT License 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.

makeMoE

Posts with mentions or reviews of makeMoE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-27.

FLaNK-python-processors

Posts with mentions or reviews of FLaNK-python-processors. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-06.

What are some alternatives?

When comparing makeMoE and FLaNK-python-processors you can also consider the following projects:

mergekit - Tools for merging pretrained large language models.

grok-1 - Grok open release

spring-ai - An Application Framework for AI Engineering

lapdev - Self-Hosted Remote Dev Environment

FeatUp - Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

CML_AMP-to-Airgapped - Download the AMP catalog for an offline (airgapped) deployment of the AMP catalog.

examples - This repository will contain examples of use cases that utilize Decodable streaming solution

dbrx - Code examples and resources for DBRX, a large language model developed by Databricks

DataDreamer - DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

doc-genius-ai - DocGenius AI - Generative AI Chatbot for your Documents - Powered by Cloudera Machine Learning (CML)

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makeMoE vs mergekit FLaNK-python-processors vs grok-1 makeMoE vs spring-ai FLaNK-python-processors vs lapdev makeMoE vs FeatUp FLaNK-python-processors vs CML_AMP-to-Airgapped makeMoE vs examples FLaNK-python-processors vs spring-ai makeMoE vs dbrx FLaNK-python-processors vs DataDreamer FLaNK-python-processors vs doc-genius-ai FLaNK-python-processors vs Fraud-Prevention-With-Cloudera-SSB