LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Extended services for PS3 console (web server, ftp server, netiso, ntfs, ps3mapi, etc.)

Semantic Segmentation for Remote Sensing

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

Pure Rust Inference Engine

[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

A paper list of some recent Mamba-based CV works.

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

rattler-build is a universal Conda package builder for Windows, macOS and Linux (like conda-build but faster)

Reading list for research topics in state-space models

A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

Rapid builds of small Conda-based containers using micromamba.

MambaGlue: Fast and Robust Local Feature Matching With Mamba @ ICRA'25

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis