Classic papers and resources on recommendation
$ npx skills add wzhe06/Reco-papersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Classic papers and resources on recommendation
$ npx skills add wzhe06/Reco-papersA Python implementation of LightFM, a hybrid recommendation algorithm.
$ npx skills add lyst/lightfmPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningAI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
$ npx skills add gorse-io/gorseDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionChatterBot 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/optunaA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-scienceAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesUniform Manifold Approximation and Projection
$ npx skills add lmcinnes/umapTensorFlow-based neural network library
$ npx skills add google-deepmind/sonnetA self-hosted open source photo management service.
$ npx skills add LibrePhotos/librephotosA Python scikit for building and analyzing recommender systems
$ npx skills add NicolasHug/Surprisetensorboard for pytorch (and chainer, mxnet, numpy, ...)
$ npx skills add lanpa/tensorboardXHow 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 Implicit 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.