Open source hardware files for Inkplate 6PLUS, with 3D enclosure design.

Auto-generate JS class structures for Web IDL specifications

An industrial connectivity edge application translating from proprietary protocols to OPC UA leveraging the W3C Web of Things (WoT) thing descriptions.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

An open-source RAG-based tool for chatting with your documents.

Unified framework for building enterprise RAG pipelines with small, specialized models

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

Sudachi in Rust 🦀 and new generation of SudachiPy

Python version of Sudachi, a Japanese tokenizer.

Neovim plugin for GitHub Copilot

Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note XPU is already supported in stock DeepSpeed (upstream).

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

🧠⚙️ Standalone native implementation of the Web Neural Network API

🧠 Web Neural Network API

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

openvino version of openai/whisper

AwesomeBump is a free program written using Qt library designed to generate normal, height, specular or ambient occlusion textures from a single image. Since the image processing is done in 99% on …

Normal & height maps generation from single pictures

A list of resources about deep learning solutions on 3D shape processing

Easily create AI generated Normal maps, Displacement maps, and Roughness maps.

A curated list of awesome Deep Learning tutorials, projects and communities.

🎨 A curated list of delightful VS Code packages and resources.

An opinionated list of Python frameworks, libraries, tools, and resources

Hardware & Software documentation for the CircuitSetup Expandable 6 Channel ESP32 Energy Meter. Works with ESPHome and Home Assistant.

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

Helper Files for IDC

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.