Popular GitHub Repositories for Micro Frontends

Effortlessly run LLM backends, APIs, frontends, and services with one command.

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

Jakarta EE 10 & MicroProfile application generator and modeler

Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

File2MD: A Micro File Parser Service. Friendly to LLM.

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

This repository holds the Arduino Library for the EdX TinyML Specialization

GPT3-based Multi-Instrumental MIDI Music AI Implementation

Project for serving ML module. This is a gRPC micro-framework.

Code for IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'

? Small microservice that geo looks up an IP - Easy to clone and deploy - ? Automatically up to date.

Deep learning model running on ESP32. Custom model used with TensorFlow Lite Micro to classify captured images of flying vehicles.

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Tensorflow Lite Micro is a DL inference framework for microcontrollers based on Google Tensorflow Lite