rinkorn

anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

pykan

Kolmogorov Arnold Networks

AppImageLauncher

Helper application for Linux distributions serving as a kind of "entry point" for running and integrating AppImages

winmd

WinMD

ntfs2btrfs

zfs

OpenZFS on Linux and FreeBSD

btrfs

WinBtrfs - an open-source btrfs driver for Windows

Ext4Fsd

Ext4 file system driver for Windows

thepipe

Feed PDFs, URLs, Slides, YouTube, and more into Vision-Language models with one line of code⚡

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

SketchGraphs

A dataset of 15 million CAD sketches with geometric constraint graphs.

synology-docker-compose

Docker Compose для Container Manager в Synology DSM 7.2

transformer-debugger

langroid

Harness LLMs with Multi-Agent Programming

rag-from-scratch

vectorrvnn

Data Driven method for hierarchical grouping of paths in Vector Graphics.

openmoji

Open source emojis for designers, developers and everyone else!

deepsvg

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

ml_refactoring_lecture

pyneng-examples-exercises

Задания и примеры из книги "Python для сетевых инженеров"

pyneng-book

Репозиторий книги "Python для сетевых инженеров": основы Python с примерами на сетевой тематике.

pytorch_geometric

Graph Neural Network Library for PyTorch

pyvene

Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions

grok-1

Grok open release

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

CoolGraph

Make GNN easy to start with

BitNet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

yet-another-applied-llm-benchmark

A benchmark to evaluate language models on questions I've previously asked them to solve.

rulm

Language modeling and instruction tuning for Russian