s1: Simple test-time scaling

This is the latest version of the internal repository from Pebble Technology providing the software to run on Pebble watches. Proprietary source code has been removed from this repository and it wi…

C# library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

LlamaIndex is the leading framework for building LLM-powered agents over your data.

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

eBPF & Cilium Office Hours

GNA - Gaussian & Neural Accelerator Library repository

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …

Reference Drivers for Select Qualcomm Reference Platforms found on Windows Update

In-memory database inspired by erlang mnesia

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

Installers and installation scripts for Microsoft SQL Server Express on ARM64.

Run Windows Subsystem For Android on your Windows 10 and Windows 11 PC using prebuilt binaries with Google Play Store (MindTheGapps) and/or Magisk or KernelSU (root solutions) built in.

Developer-related issues and feature requests for Windows Subsystem for Android

Integrate Magisk root and Google Apps into WSA (Windows Subsystem for Android)

A collection of awesome videos, articles, books and resources about ARM exploitation.

A list of natively running software on Windows arm architecture

Simple LLM library for JavaScript

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

High-performance In-browser LLM Inference Engine

Vercel and web-llm template to run wasm models directly in the browser.

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

A collection of pre-trained, state-of-the-art models in the ONNX format

Website repository for worksonwoa.com

NvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs

LaTeX files for the Deep Learning book notation

Windows paravirtualized drivers for QEMU\KVM

Ubuntu for Rockchip RK35XX Devices