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.
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 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）
Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition
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, 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
This repository is used to collect underwater scene datasets and is always updated
Compendium of free ML reading resources
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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, ...
This repository is used to collect underwater scene datasets and is always updated
Compendium of free ML reading resources
Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Attention temporal convolutional network for EEG-based motor imagery classification
Face recognition and analytics library based on deep neural networks and ONNX runtime
LUNA16-Lung-Nodule-Analysis-2016-Challenge
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 curated list of all machine learning algorithms and deep learning algorithms grouped by category.
High-quality Neural Networks for Computer Vision 😎
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image 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).
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, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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...
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Repository for CARTE: Context-Aware Representation of Table Entries
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
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, ...
Resurces for MRI images processing and deep learning in 3D
This repository is used to collect underwater scene datasets and is always updated
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
MOMENT: A Family of Open Time-series Foundation Models
Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Final Project for AI Wireless
Demo on how to compute soccer ball possession automatically using AI.
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...
Face recognition and analytics library based on deep neural networks and ONNX runtime
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.
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
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...
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
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.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
MOMENT: A Family of Open Time-series Foundation Models
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Repository for CARTE: Context-Aware Representation of Table Entries
🤖 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...
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)
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
MOMENT: A Family of Open Time-series Foundation Models
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Final Project for AI Wireless
This repository is used to collect underwater scene datasets and is always updated
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
🏎️ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
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...
3D DATA PROCESSING AND MODELING ESSENTIALS: A curated collection of tools, literature, courses, and datasets for mastering 3D point cloud technology.
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
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)
🤖 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.
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.
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.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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.
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
MOMENT: A Family of Open Time-series Foundation Models
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
🤖 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.
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
Compendium of free ML reading resources
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, ...
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)