The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The fastai deep learning library

A guidance language for controlling large language models.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Foundational Models for State-of-the-Art Speech and Text Translation

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

Reference models and tools for Cloud TPUs.

Open-source and strong foundation image recognition models.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

Simple image captioning model

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Detect fire in images using neural nets

Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets

Audio transforms for FastAI

How to train an object detection model easy for free

An experimental repository to build ML models and perform efficient wildfire smoke detection.

DEIMKit is a Python package that provides a wrapper for DEIM: DETR with Improved Matching for Fast Convergence. Check out the original repo for more details.

Start using computer vision in two minutes with our interactive Python notebook experience.

A one-stop repository for low-code easily-installable object detection pipelines.

A Keras implementation of YOLOv3 (Tensorflow backend)

YOLOv3 in PyTorch > ONNX > CoreML > iOS

Demo notebooks for deep learning lecture at Wroclaw University of Technology in 2018

🎭 Customize the YOLOv4-tiny model for any custom dataset