An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/Paddle⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaPretrain, 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/kerasThe fastai deep learning library
$ npx skills add fastai/fastaiA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjsA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibThe 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/yolov3AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
$ npx skills add gorse-io/gorseA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsDeep 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 Deep Learning For Recommendation Systems 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.