🤖 Enable hands-free online exams with an AI-powered system that uses face recognition and head gestures, designed for users with disabilities.

🔍 Resolve environment variables at runtime from sources like AWS SSM and HashiCorp Vault, keeping secrets secure and accessible in any environment.

Official implementation of BitMamba-2. A scalable 1.58-bit State Space Model (Mamba-2 + BitNet) trained from scratch on 150B tokens. Includes JAX training code and high-performance C++ inference engine.

Wrapping some useful AWS cli commands to operate some services like EC2, SSO and more

Ultra-lightweight C++ inference engine for BitMamba-2 (1.58-bit SSM). Runs 1B models on consumer CPUs at 50+ tok/s using <700MB RAM. No heavy dependencies.

An open source implementation of LFMs from Liquid AI: Liquid Foundation Models

AWS SSM helper. Download SSM keys easily

Sample demonstrating how to use AWS Systems Manager Inventory to detect file changes on EC2 instances and publish findings to AWS Security Hub and Amazon Security Lake.

(Unofficial) Mamba and Mamba2 SSM implementation for macOS Apple Silicon with MPS acceleration.

Säkerhets-SM 2026 Quals

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

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.

CRSM (Continuous Reasoning State Model): An asynchronous "System 2" architecture that implements Hierarchical State Sovereignty within a Mamba backbone. Unlike traditional search wrappers, CRSM uses Forward-Projected Planning and Sparse-Gated Injection to steer latent manifolds in real-time, decoupling strategic reasoning from token generation.

PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"

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.

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling

Production-ready AWS Systems Manager automation documents for infrastructure management, security compliance, and cost optimization

AWS EC2 image publication tool

OmegaViT (ΩViT) is a cutting-edge vision transformer architecture that combines multi-query attention, rotary embeddings, state space modeling, and mixture of experts to achieve superior performance across various computer vision tasks.