🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

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

Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

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

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.

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

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

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

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

Rapid builds of small Conda-based containers using micromamba.

The fast conda package builder, based on mamba

Reading list for research topics in state-space models

rattler-build is a universal package builder for Windows, macOS and Linux

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

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

The libmamba based solver for conda.

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

Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)

Minimal Mamba-2 implementation in PyTorch