686 Open source projects that are alternatives of or similar to Chaidnn

Ordinal Common-sense Inference

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。

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

📚 🔬 PIA - Protein Inference Algorithms

Neural networks library for machine learning on PHP

Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN

Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.

DNN Reports module provides a simple, flexible, view on your database, any table, any view and display results with plugin visualizers

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

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

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

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

an tutorial implement of voice conversion using pytorch

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

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

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

The Triton backend for the ONNX Runtime.

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

Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

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

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Modify from https://github.com/JarveeLee/SynthText_Chinese_version.git with python3 and cv3.

Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.

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

A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation

RidgeRun Inference Framework

Spark ML Lib serving library

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

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JSON schema validator

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

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

Chainer implementation of Dense Fusion

DNN Events manages display of upcoming events as a list in chronological order or in calendar format with additional information. This Github repo is used for source management and releases.

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

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

Tensorflow C++ examples for Visual Studio. Features Pose Estimation and various techniques to utilize the Tensorflow C++ interface

MVC and SPA (Single Page Application) module templates for DNN

Yolo With OpenCvSharp Dnn

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

Noisy network measurement with stan

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

DNN FAQ is a basic module used for displaying frequently asked questions on your DNN site.

Inference Model Manager for Kubernetes

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

TypeQL: the query language of TypeDB - a strongly-typed database

Python package for the creation, manipulation, and learning of Causal DAGs

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

⏱ Benchmarks of machine learning inference for Go

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

Woodwork is a Python library that provides robust methods for managing and communicating data typing information.

Common JavaScript libraries packaged as DNN JavaScript Library extensions

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

A Unified Framework for Random Forest Prediction Error Estimation

TypeDB: a strongly-typed database

Graphsignal Python agent

The challenge projects for Inferencing machine learning models on iOS

This tutorial series provides step-by-step instructions for how to perform human pose estimation in Unity with the Barracuda inference library.

An Open Source Machine Learning Framework for Everyone