Trending repositories for topic classification
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.
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）
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.
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
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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...
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
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...
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
This repository is used to collect underwater scene datasets and is always updated
MOMENT: A Family of Open Time-series Foundation Models
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
This repository consists of all my Machine Learning Projects.
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.
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）
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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...
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
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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.
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is...
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
MOMENT: A Family of Open Time-series Foundation 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...
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
A Bot to play Eve Online leveraging various methods including popular machine learning tools. At this point, its a full blown AI.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
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）
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.
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 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 Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
TaxTriage is a Nextflow workflow designed to agnostically identify and classify microbial organisms within short- or long-read metagenomic NGS data. This flexible tool was developed with various use-c...
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 is part of the Brain Tumor Classification Project. The repo contains the unaugmented dataset used for the project
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks....
MOMENT: A Family of Open Time-series Foundation Models
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.
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.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Attention temporal convolutional network for EEG-based motor imagery classification
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is...
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
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 brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks....
[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. 🖼️✏️📑
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)
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).
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.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
MOMENT: A Family of Open Time-series Foundation Models
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
MLMD: a programming-free AI platform to predict and design materials
Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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.
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, ...
Compendium of free ML reading resources
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)
The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"