computer-vision

AI-PP3 is a command-line tool that uses artificial intelligence to analyze RAW photos and generate optimized processing profiles (PP3 files) for RawTherapee.

This repository lists some awesome public Rust projects, Videos, Blogs and Jobs.

A curated list of PHP libraries and tools for AI, Machine Learning, and Natural Language Processing. Find everything you need to integrate modern AI capabilities into your PHP applications.

[CVPR 2024 Highlight] ImageNet-D

[IEEE TMM 2022] Official implementation of YDTR: Infrared and Visible Image Fusion via Y-shape Dynamic Transformer

Transformer & CNN Image Captioning model in PyTorch.

Intelligent file organization with computer vision, audio analysis, chunking, proactive AI-powered analysis, interactive classification, and adaptive learning.

A collection of AI-driven tools designed to enhance productivity, streamline task automation, and make everyday work more manageable.

An end-to-end image captioning project using a CNN encoder (ResNet-50) and LSTM decoder in PyTorch. Includes vocabulary building, preprocessing, training with BLEU evaluation, and inference. Generates natural language captions for images with saved metrics, model checkpoints, and visualization outputs.

LLM Agent paired with Image Captioning and Yolov8 models plays God of War

[NeurIPS-2024] The offical Implementation of "Instruction-Guided Visual Masking"

Implementation dino v2 for remote sensing with huggingface transformers

[WACV 2025] Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge

Machine learning robotics engineer preparation material.

An efficient multi-modal instruction-following data synthesis tool and the official implementation of Oasis https://arxiv.org/abs/2503.08741.

This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"

Train YOLO + VLM with one command. Auto-generate vision-language training data from YOLO labels - no extra labeling needed.

Run zero-shot prediction models on your data

Multimodal Emotion eXpression Capture Amsterdam. Pipeline for capturing emotion expressions from multiple modalities (video, audio, text) in the wild.

Predict the Body Mass Index with one image of a human face, with state-of-the-art results.