Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Pretrain, 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/kerasA 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/pyodA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/ray๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3Fast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluon๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA 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/pyroModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeHow 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 ML From Scratch 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.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Pretrain, 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/kerasA 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/pyodA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/ray๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3Fast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluon๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA 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/pyroModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeHow 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 ML From Scratch 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.