makeMoE VS beesy-issue-tracker

Compare makeMoE vs beesy-issue-tracker 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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makeMoE beesy-issue-tracker
3 2
510 10
- -
9.0 6.7
about 1 month ago about 2 months ago
Jupyter Notebook
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.

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.

beesy-issue-tracker

Posts with mentions or reviews of beesy-issue-tracker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing makeMoE and beesy-issue-tracker you can also consider the following projects:

mergekit - Tools for merging pretrained large language models.

difftastic - a structural diff that understands syntax 🟥🟩

spring-ai - An Application Framework for AI Engineering

trulens - Evaluation and Tracking for LLM Experiments

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

rnote - Sketch and take handwritten notes.

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

peerdb - Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage

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