An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/kerasTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaChatterBot is a machine learning, conversational dialog engine for creating chat bots
$ npx skills add gunthercox/ChatterBot🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesUniform Manifold Approximation and Projection
$ npx skills add lmcinnes/umapA self-hosted open source photo management service.
$ npx skills add LibrePhotos/librephotos⚡ TabPFN: Foundation Model for Tabular Data ⚡
$ npx skills add PriorLabs/TabPFNPArallel 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⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlHow 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 Machine Learning For Solar Energy Prediction 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.