ML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deep Learning in C#
ML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningGoogle Research
$ npx skills add google-research/google-researchThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modular🔥Highlighting the top ML papers every week.
$ npx skills add dair-ai/AI-Papers-of-the-WeekThe Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
$ npx skills add Unity-Technologies/ml-agentsCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
$ npx skills add dmlc/xgboost12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-Beginners💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netron⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/Paddle🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep ConvNetSharp if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.