Popular GitHub Repositories for Aps 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.

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

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.

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.

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

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)

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

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

TensorFlow API for .NET languages

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

AI Multi-Agent Framework in .NET