Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
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47,133 repositories indexed
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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Image augmentation for machine learning experiments.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A python library for self-supervised learning and latent world models on images.
Neural Network to colorize grayscale images
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
💃 Free CC0 mannequin pose reference library for AI image tools (Nano Banana, ChatGPT, ComfyUI, Midjourney) — 250+ poses × 5 angles in line art, names in ja/zh/en/ko
One-link downloader for the Mac (videos, documents, images, articles, web pages), with optional automatic YouTube monitoring that translates and subtitles new videos.
Automated 3D cell detection in very large images
AI-based pathology predicts origins for cancers of unknown primary - Nature
A tool for cell instance aware segmentation in densely packed 3D volumetric images
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Panoptic segmentation algorithms for 2D and 3D electron microscopy images