EdgeML-Projects

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

? A fast WebAssembly interpreter and the most universal WASM runtime

Kubernetes Native Edge Computing Framework (project under CNCF)

Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.

Awesome Knowledge Distillation

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Collection of AWESOME vision-language models for vision tasks

Event-driven Infrastructure for Modern Cloud

"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility