161 Open source projects that are alternatives of or similar to fast-fomm-mobile

Explore the Capabilities of the TensorRT Platform

PyTorch C++ inference with LibTorch

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

Gaussian Process Motion Planner 2

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation

ELFI - Engine for Likelihood-Free Inference

Companion code for the Unity Style Transfer blog post, showcasing realtime style transfer using Barracuda.

OpenVINO™ Toolkit repository

Inference Model Manager for Kubernetes

The challenge projects for Inferencing machine learning models on iOS

Machine Learning inference engine for Microcontrollers and Embedded devices

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

Adlik: Toolkit for Accelerating Deep Learning Inference

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x

JSON schema validator

Serving PyTorch 1.0 Models as a Web Server in C++

📚 🔬 PIA - Protein Inference Algorithms

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

A Python toolkit for (simulation-based) inference and the mechanization of science.

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

A free, open-source inference and learning library for Sum-Product Networks (SPN)

This is a repository for an object detection inference API using the Tensorflow framework.

⏱ Benchmarks of machine learning inference for Go

Graphsignal Python agent

TensorFlow template application for deep learning

Collection of data sets of molecules for a validation of properties inference

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

Latent Dirichlet Allocation

TypeDB: a strongly-typed database

MLSS 2016 material.

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用。

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

RidgeRun Inference Framework

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Train and run Pytorch models on Apache Spark.

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

An easy to use PyTorch to TensorRT converter

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Running BERT without Padding

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

A Python package for approximate Bayesian inference and optimization using Gaussian processes

Named Entity Recognition with BERT using TensorFlow 2.0

The purpose of this project is to apply mediapipe to more AI chips.

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

Rust wrapper for Microsoft's ONNX Runtime (version 1.8)

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

🔮 Use TensorFlow models in Go to evaluate Images (and more soon!)

IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at:

Detect various irregularities of a product as it moves along a conveyor belt.