openai / CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
See what the GitHub community is most excited about today.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🦜🔗 Build context-aware reasoning applications
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
A latent text-to-image diffusion model
An open-source, low-code machine learning library in Python
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Automatic Generation of Visualizations and Infographics using Large Language Models
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
MONAI Tutorials