Official repository for Reinforcement Learning Decoders used for intra-cortical brain machine interfaces - Neuroelectronics 2025

An algorithm to merge RISC-V instruction sequences

This project analysis and optimizes Retinex image enhancement algorithm for embedded system applications

This project explores how adaptive behavior and learning-like dynamics can emerge from purely deterministic gate-level systems. It evolves from strict Boolean matching to score-based decision making, culminating in a cybernetic feedback-driven adaptive learning system, with perceptron-style development as future work 🤖.

Linux distro with automatic hardware detection and per-system optimization. Ubuntu 24.04 base. Alpha.

For internal training and testing

Real-time dynamic GPU undervolting tool for AMD Radeon RX 9070 XT (RDNA4) on Windows. Automatically switches voltage offsets based on live core clock via AMD's official ADLX SDK — no static slider limitations. Features GUI dashboard, CLI controller, crash logger with TDR detection, and full preset management.

Unlocking RTX 4090: 15s/it for 56B models (Flux 2.0 Dev + Mistral 24B). Protocol Marianna F2.11, P-State 'Defibrillation' method & Workflow. (Перевод: Разблокировка RTX 4090: 15 сек/ит для моделей 56B. Протокол Marianna F2.11, метод 'Дефибрилляции' P-state и Workflow.)

HiveOS Mining Farm Management Tool helps you efficiently manage and optimize your mining farm, offering centralized control and monitoring of your rigs. 🖥️📊

Deep Learning project using PyTorch to classify shoe image pairs. Features custom CNN architectures (CNNChannel) with a focus on hardware-constrained optimization and VRAM management.

Run modern AI models on older laptops - optimized for 2nd-gen Intel hardware

Commercial LLM evaluation service — hardware-aware benchmarking across text generation, embedding, and vision/OCR with 18 domain-specific scorers and multi-project orchestration

⚙️ Optimize your Linux experience with HecateOS, a performance-driven distribution that auto-tunes hardware for enhanced efficiency and speed.

A Machine Learning tool that predicts gaming performance (FPS) and identifies hardware bottlenecks (CPU vs. GPU) based on PC specifications and game settings.