Popular GitHub Repositories for Net Core

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which lets AI drive data-driven AI.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

.NET API Gateway

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Collection of models for Core ML

Mycroft Core, the Mycroft Artificial Intelligence platform.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Power CLI and Workflow manager for LLMs (core package)

A C#/.NET library to run LLM (?LLaMA/LLaVA) on your local device efficiently.

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

.NET, Angular, Clean Architecture, Clean Code, SOLID Principles, KISS Principle, DRY Principle, Fail Fast Principle, Common Closure Principle, Common Reuse Principle, Acyclic Dependencies Principle, Mediator Pattern, Result Pattern, Folder-by-Feature Structure, Separation of Concerns