Vision
pytorch
Datasets, Transforms and Models specific to Computer Vision
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Find a skill for your next task. Preview examples where available.
1–16 / 26
Results: 26
pytorch
Datasets, Transforms and Models specific to Computer Vision
roboflow
We write your reusable computer vision tools. 💜
john-rocky
Converted CoreML Model Zoo.
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
kornia
🐍 Geometric Computer Vision Library for Spatial AI
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.
web-infra-dev
AI-powered, vision-driven UI automation for every platform.
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
mylxsw
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…