Label Studio is a multi-type data labeling and annotation tool with standardized output format
- computer-vision
- deep-learning
- image-annotation
- annotation-tool
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🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Toolkit for linearizing PDFs for LLM datasets/training
Datasets, Transforms and Models specific to Computer Vision
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
- video-annotation
- computer-vision
- computer-vision-annotation
- image-annotation
pix2tex: Using a ViT to convert images of equations into LaTeX code.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
- ai
- low-code
- self-hosted
- starter-kit
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
A MNIST-like fashion product database. Benchmark :point_down:
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
pix2code: Generating Code from a Graphical User Interface Screenshot
- deep-learning
- datasets
- deep-neural-networks
- front-end-development
Refine high-quality datasets and visual AI models
Open source annotation tool for machine learning practitioners.
- natural-language-processing
- machine-learning
- annotation-tool
- python
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
- object-detection
- open-world
- open-world-detection
- vision-language
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
A studio for image and video generation — one prompt bar, each model’s own settings, and every finished run in one gallery.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
- tracking
- computer-vision
- siamese-network
The Open Images dataset
Translated词光 (Ciguang, "word light") · Word Atlas — Illustrated IELTS vocabulary with 7,298 words, UK/US audio and FSRS review. Open-source app + CC BY 4.0 dataset.
- chinese
- dataset
- english-learning
- flashcards
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features