Fast Python Collaborative Filtering for Implicit Feedback Datasets
$ npx skills add benfred/implicitAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A Python scikit for building and analyzing recommender systems
Fast Python Collaborative Filtering for Implicit Feedback Datasets
$ npx skills add benfred/implicitClassic papers and resources on recommendation
$ npx skills add wzhe06/Reco-papersPretrain, 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/visionPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3A Python implementation of LightFM, a hybrid recommendation algorithm.
$ npx skills add lyst/lightfmChatterBot is a machine learning, conversational dialog engine for creating chat bots
$ npx skills add gunthercox/ChatterBotNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optunaThe Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-scienceHow 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 Surprise 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.