[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
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Updated
Sep 28, 2024 - Python
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks"
A simple and minimal open source implementation of "Introducing LFM2: The Fastest On-Device Foundation Models on the Market" from Liquid AI in Pytorch
Implementation of a Hierarchical Mamba as described in the paper: "Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling"
Brainwave is a state-of-the-art neural decoder that transforms electroencephalogram (EEG) and brain signals into multimodal outputs including images, videos, and text.
Transformers + Mambas + LSTMS All in One Model
The system enables sophisticated coordination of multiple drones through natural language commands, visual inputs, and real-time environmental data.
The Fitness Database project contains Python and SQL code for creating an ETL data pipeline that extracts, transforms, and loads fitness data into a local SQL Server.
An exploration into leveraging SSM's as Bridge/Adapter Layers for VLM
An experimental repository on research for training multiple models all at once in an evolutionary capacity!
This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show
Social media is now overwhelmingly popular, most humans spend hours a day on various platforms. This repo provides a large techstack to profit off social media, providing content creating, content posting, analytics, and optimization.
Inventory management web application
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