Trending repositories for topic classification
deep learning for image processing including classification and object-detection etc.
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
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.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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....
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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....
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
A Django application developped for classification of a diabetes complication that affects eyes
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...
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI
Face recognition and analytics library based on deep neural networks and ONNX runtime
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
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).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
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 fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
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...
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Low-code 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
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....
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 brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks....
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, ...
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
PyTorch implementation for Dual Contrastive Prediction for Incomplete Multi-view Representation Learning (TPAMI'22)
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem ...
Compendium of free ML reading resources
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
MOMENT: A Family of Open Time-series Foundation Models
Demo on how to compute soccer ball possession automatically using AI.
This repository is used to collect underwater scene datasets and is always updated
The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"
A Django application developped for classification of a diabetes complication that affects eyes
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.
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.
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
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....
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Low-code 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
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
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
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....
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...
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
🏎️ 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.
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
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
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
A Django application developped for classification of a diabetes complication that affects eyes
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
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....
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
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.
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).
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
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 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.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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
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 professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
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...
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
MOMENT: A Family of Open Time-series Foundation Models
Compendium of free ML reading resources
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
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, ...
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
ESGify is a model for multilabel news classification with respect to ESG risks.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
The official repo for [TPAMI'23] "Vision Transformer with Quadrangle Attention"
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
A JavaScript image classifier used to identify explicit/pornographic content written in TypeScript.
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)