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
TensorLy: Tensor Learning in Python.
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-lightningTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchPyTorch 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/bitsandbytesThe fastai deep learning library
$ npx skills add fastai/fastaiUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Datasets, 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/ChatterBotThe 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/yolov3🐍 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/dartsHow 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 Tensorly 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.