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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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
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 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...
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
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 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...
Turn any computer or edge device into a command center for your computer vision projects.
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.
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...
Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.
Attention temporal convolutional network for EEG-based motor imagery classification
Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers
Compendium of free ML reading resources
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).
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
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~✨
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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
MOMENT: A Family of Open Time-series Foundation Models
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Compendium of free ML reading resources
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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~✨
Compendium of free ML reading resources
MOMENT: A Family of Open Time-series Foundation Models
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
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
This repository is used to collect underwater scene datasets and is always updated
This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.
Notes of IBM Data Science Professional Certificate Courses on Coursera
Attention temporal convolutional network for EEG-based motor imagery classification
Turn any computer or edge device into a command center for your computer vision projects.
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
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))
Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.
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.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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
Turn any computer or edge device into a command center for your computer vision projects.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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...
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
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.
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, ...
MOMENT: A Family of Open Time-series Foundation Models
Notes of IBM Data Science Professional Certificate Courses on Coursera
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
This repository is used to collect underwater scene datasets and is always updated
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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
Repository for CARTE: Context-Aware Representation of Table Entries
Detection, Classification, and Localisation of marine mammal and other bioacoustic signals
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arb...
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
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...
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~✨
[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".
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. 🖼️✏️📑
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...
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
🤖 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.
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.
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...
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
All-in-One Development Tool based on PaddlePaddle（飞桨低代码开发工具）
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.
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
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
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 simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
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...