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
OpenCV wrapper for .NET
ML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningOpen Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
$ npx skills add lance-format/lanceA collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
$ npx skills add roboflow/notebooksStatistical Machine Intelligence & Learning Engine
$ npx skills add haifengl/smileA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodAI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
$ npx skills add gorse-io/gorseA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsA fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
$ npx skills add catboost/catboostSwap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
$ npx skills add xorbitsai/inferenceData science interview questions and answers
$ npx skills add alexeygrigorev/data-science-interviewsA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-scienceA unified framework for machine learning with time series
$ npx skills add sktime/sktimeDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaretContainers for machine learning
$ npx skills add replicate/cogTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetHow 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 Opencvsharp 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.