Statistics for topic classification
RepositoryStats tracks 613,979 Github repositories, of these 555 are tagged with the classification topic. The most common primary language for repositories using this topic is Python (286). Other languages include: Jupyter Notebook (133), C++ (16), JavaScript (11), R (11)
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让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
Effortless data labeling with AI support from Segment Anything and other awesome models.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S09...
Compendium of free ML reading resources
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
Effortless data labeling with AI support from Segment Anything and other awesome models.
All-in-One Development Tool based on PaddlePaddle(飞桨低代码开发工具)
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
Welcome to the ultimate list of resources for AI in cybersecurity. This repository aims to provide an organized collection of high-quality resources to help professionals, researchers, and enthusiasts...
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
This repository is used to collect underwater scene datasets and is always updated
让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
Effortless data labeling with AI support from Segment Anything and other awesome models.
deep learning for image processing including classification and object-detection etc.
让杂乱无章的文件世界变得如同精美画卷般整洁可爱喵~✨Let the chaotic world of documents become as tidy and lovely as a beautiful painting~✨
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
Welcome to the ultimate list of resources for AI in cybersecurity. This repository aims to provide an organized collection of high-quality resources to help professionals, researchers, and enthusiasts...
MOMENT: A Family of Open Time-series Foundation Models
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambul...
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
deep learning for image processing including classification and object-detection etc.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
MOMENT: A Family of Open Time-series Foundation Models
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for ...
Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms