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).

🧠⚙️ 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, GLM, 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.

The definitive list that answers "I want to do X in Python, which tool should I use?"

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.

Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction