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mamba
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🤖 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.)
[CVPR 2025] 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
Semantic Segmentation for Remote Sensing
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 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.
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
A paper list of some recent Mamba-based CV works.
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.
Reading list for research topics in state-space models
rattler-build is a universal package builder for Windows, macOS and Linux
The fast conda package builder, based on mamba
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Mambular 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.
