We write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Simple machine learning library / 簡單易用的機器學習套件
We write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionTensors 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/korniaOpen-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
$ npx skills add pycaret/pycaretAn 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-mlA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
$ npx skills add lightgbm-org/LightGBMA WebGL accelerated JavaScript library for training and deploying ML models.
$ npx skills add tensorflow/tfjs🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, 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/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
$ npx skills add labmlai/annotated_deep_learning_paper_implementationsHow 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 Fuku Ml 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.