Trending repositories for topic classification
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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
It is a blueprint jupyter notebook that can be used for classification and regression tasks using ml and dl solutions.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scienti...
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
PyTorch implementation of the groundbreaking paper "NoProp: Training Neural Networks Without Backpropagation or Forward Propagation".
This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.
[WACV 2023] Information and scripts for the CropAndWeed Dataset
This repository is used to collect underwater scene datasets and is always updated
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, an...
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Effortless data labeling with AI support from Segment Anything and other awesome models.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
MOMENT: A Family of Open Time-series Foundation Models
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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Deep learning kit for time series analysis, supports forecasting, anomaly detection, classification, imputation, and clustering tasks on multivariate TS
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
Turn any computer or edge device into a command center for your computer vision projects.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scienti...
It is a blueprint jupyter notebook that can be used for classification and regression tasks using ml and dl solutions.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Build a Large Language Model (From Scratch) book and Finetuned Models
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
A collection of samples demonstrating techniques for processing documents with Azure AI including AI Foundry, OpenAI, Document Intelligence, etc.
[WACV 2023] Information and scripts for the CropAndWeed Dataset
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.
:stethoscope: This project aims to detect stress state based on Electrocardiogram :hearts: signals (WESAD Dataset) analysis with a deep learning model.
This repository is used to collect underwater scene datasets and is always updated
Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.
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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Deep learning kit for time series analysis, supports forecasting, anomaly detection, classification, imputation, and clustering tasks on multivariate TS
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
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Turn any computer or edge device into a command center for your computer vision projects.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PyTorch implementation of the groundbreaking paper "NoProp: Training Neural Networks Without Backpropagation or Forward Propagation".
It is a blueprint jupyter notebook that can be used for classification and regression tasks using ml and dl solutions.
Build a Large Language Model (From Scratch) book and Finetuned Models
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scienti...
A collection of samples demonstrating techniques for processing documents with Azure AI including AI Foundry, OpenAI, Document Intelligence, etc.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
[TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
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 ...
【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning t...
This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.
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 lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Demo on how to compute soccer ball possession automatically using AI.
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~✨
Repository for CARTE: Context-Aware Representation of Table Entries
Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
A collection of samples demonstrating techniques for processing documents with Azure AI including AI Foundry, OpenAI, Document Intelligence, etc.
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...
PyTorch implementation of the groundbreaking paper "NoProp: Training Neural Networks Without Backpropagation or Forward Propagation".
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
[TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
📖 A curated list of awesome time-series papers, benchmarks, datasets, tutorials. (WIP)
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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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
Deep learning kit for time series analysis, supports forecasting, anomaly detection, classification, imputation, and clustering tasks on multivariate TS
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Turn any computer or edge device into a command center for your computer vision projects.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
ncnn android yolov8 realtime detection, segmentation, pose estimation, classification and obb
MOMENT: A Family of Open Time-series Foundation Models
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scienti...
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 ...
[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
NKU_2022Fall Python language programming project. 虚假新闻检测项目，分别使用机器学习、深度学习和bert方法完成任务
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning t...
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).