Q2Boot - A handy QEMU VM launcher

a project by amanzini

Description

Updated 9 days ago. 1 hackers ♥️. 1 follower.

GHC-9.14 and split Hadrian from GHC build

a project by osukup

Description

Prepare openSUSE Tumbleweed project for new GHC Haskell compiler and separate builder (Hadrian) from GHC build

Updated 17 days ago. 1 hackers ♥️. 2 followers.

Improve build results for Gitea

an idea by adamm

Description

Updated 16 days ago. 1 hackers ♥️. 1 follower. Has no hacker: grab it!

Casky – Lightweight C Key-Value Engine with Crash Recovery

an idea by pperego

Description

Updated 13 days ago. 1 hackers ♥️. 3 followers. Has no hacker: grab it!

Work on kqlite (Lightweight remote SQLite with high availability and auto failover).

a project by epenchev

Description

Continue the work on kqlite (Lightweight remote SQLite with high availability and auto failover).

Updated 4 days ago. 1 hackers ♥️. 1 follower.

NetHack Agent

a project by LarsMB

Description

Updated 4 days ago. 1 hackers ♥️. 1 follower.

Image ranker via click-to-choose using locally running UI

an idea by jeremy_moffitt

Description

Create an locally deployable application that allows the user to repeatedly choose between two images from a set to rank them over the course of multiple comparisons. The image set should be loadable from a local file folder the user specifies, then the program displays 2 images at a time to the user who selects their preferred image, random comparisons continue until the user decides they are done, or some threshold for comparisons is met (for example, all images except 1 have "lost" 5 times). The resulting stack sort is available to the user. As a stretch goal the images could be renamed or copy+rename based on the results. Additional stretch goal would be to sort images from a library of URLs (or perhaps a flickr stream). An unlikely but ambitious additional stretch goal is to filter out blurry images using some sort of AI plugin.

Updated 3 days ago. 1 hackers ♥️. 1 follower. Has no hacker: grab it!

Building and Distilling a Custom LLM Using Rancher Data

a project by rcabello

Description

This project explores how to create a custom Large Language Model (LLM) trained specifically on Rancher related data. We will explore LLM distillation techniques to produce a smaller, more efficient model suitable for deployment in resource-constrained environments. We will also explore how Retrieval-Augmented Generation (RAG) can enhance model performance by combining the strengths of fine-tuning with dynamic knowledge retrieval.

Updated 3 days ago. 1 hackers ♥️. 3 followers.