TUI for Telegram written in Rust 🦀

A curated list of TUI apps and libraries built with Ratatui

Rust for data analysis encyclopedia (WIP).

Encoding and decoding images in Rust

A comprehensive Rust translation of the code from Sebastian Raschka's Build an LLM from Scratch book.

Implementation of the Coursera ML course in Rust

Tutorial for Porting PyTorch Transformer Models to Candle (Rust)

ResNet implementation with Burn

ONNX neural network inference engine

An introduction to the Rust programming language.

Official repository for our work on micro-budget training of large-scale diffusion models.

Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.

This repository contains tutorials and examples for Triton Inference Server

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

Deep Learning how-to's using Lance file format

A suite of image and video neural tokenizers

Focused on fast experimentation and simplicity

Build real-time multimodal AI applications 🤖🎙️📹

An 8-step inversion and 8-step editing process works effectively with the FLUX-dev model. (3x speedup with results that are comparable or even superior to baseline methods)

Google AI Studio Starter Apps

official implementation of paper "Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation"

The Memory layer for AI Agents

Extended pickling support for Python objects

Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".

SGLang is a fast serving framework for large language models and vision language models.

Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

📝 Python markup module for Telegram messenger