Trending repositories for topic classification
Effortless data labeling with AI support from Segment Anything and other awesome models.
deep learning for image processing including classification and object-detection etc.
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
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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.
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
Neural Network Compression Framework for enhanced OpenVINO™ inference
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
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...
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
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...
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
Turn any computer or edge device into a command center for your computer vision projects.
Effortless data labeling with AI support from Segment Anything and other awesome models.
Neural Network Compression Framework for enhanced OpenVINO™ inference
This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets...
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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).
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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
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
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
🖼️ Classify images and extract data from or describe their contents using machine learning
This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor
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...
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
The buildingSMART Data Dictionary repository, where we publish the documentation, examples and more. We don't publish here the data, the source code of the bSDD service or the front end of the website...
Repository for CARTE: Context-Aware Representation of Table Entries
Quick Start Guide for MARIDA (Marine Debris Archive)
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.
Final Project for AI Wireless
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Effortless data labeling with AI support from Segment Anything and other awesome models.
A Bot to play Eve Online leveraging various methods including popular machine learning tools. At this point, its a full blown AI.
Face recognition and analytics library based on deep neural networks and ONNX runtime
MOMENT: A Family of Open Time-series Foundation Models
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...
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).
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
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
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
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
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...
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
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...
【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
🖼️ Classify images and extract data from or describe their contents using machine learning
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
Repository for CARTE: Context-Aware Representation of Table Entries
资源受限环境下、大规模肺炎早筛方法。采用DSHNet生成少类样本数据，解决数据不平衡的问题，然后利用RSFNet进行分类，最后结合剪枝策略实现轻量化！MedGAN-ResLite-V2 is released! ❤
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
🤖 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 repository is used to collect underwater scene datasets and is always updated
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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 ...
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
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
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
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. 🖼️✏️📑
Repository for CARTE: Context-Aware Representation of Table Entries
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
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 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...
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
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
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.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
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
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
MOMENT: A Family of Open Time-series Foundation Models
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
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
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.
🤖 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 repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
SEMA is based on angr, a symbolic execution engine used to extract API calls. Especially, we extend ANGR with strategies to create representative signatures based on System Call Dependency graph (SC...
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, ...