Datasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Learning Gradient Fields for Shape Generation
Datasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningNLTK 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/ChatterBot🐍 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/dartsRF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
$ npx skills add roboflow/rf-detrAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesUniform Manifold Approximation and Projection
$ npx skills add lmcinnes/umapA self-hosted open source photo management service.
$ npx skills add LibrePhotos/librephotos⚡ TabPFN: Foundation Model for Tabular Data ⚡
$ npx skills add PriorLabs/TabPFNA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlib利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
$ npx skills add harry0703/MoneyPrinterTurboDeep Learning for humans
$ npx skills add keras-team/kerasWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionHow 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 ShapeGF 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.