Vision
pytorch
Datasets, Transforms and Models specific to Computer Vision
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Results: 19
pytorch
Datasets, Transforms and Models specific to Computer Vision
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
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…
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…
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
apple
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
shap
A game theoretic approach to explain the output of any machine learning model.
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