🤖 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 inference

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

The libmamba based solver for conda.

Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces

Recipes to build the packages for the emscripten-forge distribution

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. This includes models like Mambular, FT-Transformer, TabTransformer and tabular ResNets.

Docker image: Python scientific base with fast anaconda alternative - mamba

SDK for developing in the Mamba web environment

Statecraft - Load, store and remix states for SSMs, Mamba and Stateful models

Creates a conda environment.yml file from python package dependencies (e.g. from pyproject.toml or setup.cfg files).

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

Offical Pytorch Code for "SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance"

Welcome to Prometheus, the revolutionary AI model that allows you to generate DNA sequences for any creature you can imagine. Whether it’s a pink panda, an elephant-sized turtle, or a completely new lifeform from your wildest dreams, Prometheus decodes the mystery of biology and synthesizes genetic blueprints with precision.

Conda package build for nextstrain-base

Rapid builds of small Conda-based containers using micromamba.

Offical Pytorch Code for "OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation"

Offical Pytorch Code for "Microscopic-Mamba: Revealing the Secrets of Microscopic Images with Just 4M Parameters"

[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch