Deep Learning for humans
$ npx skills add keras-team/kerasAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A library for training and deploying machine learning models on Amazon SageMaker
Deep Learning for humans
$ npx skills add keras-team/kerasPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3Deep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowThe fastai deep learning library
$ npx skills add fastai/fastaiUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Learn ML engineering for free in 4 months! Register here 👇🏼
$ npx skills add DataTalksClub/machine-learning-zoomcamp🤗 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/datasetsContainers for machine learning
$ npx skills add replicate/cogTensors 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/ChatterBotHow 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 Sagemaker Python Sdk 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.