Trending repositories for topic classification
deep learning for image processing including classification and object-detection etc.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
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
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
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, ...
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
MOMENT: A Family of Open Time-series Foundation Models
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
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.
MOMENT: A Family of Open Time-series Foundation Models
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
This repository is used to collect underwater scene datasets and is always updated
Compendium of free ML reading resources
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
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, ...
Attention temporal convolutional network for EEG-based motor imagery classification
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text a...
[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
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
deep learning for image processing including classification and object-detection etc.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM 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
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 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, ...
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 and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
MOMENT: A Family of Open Time-series Foundation Models
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
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.
MOMENT: A Family of Open Time-series Foundation Models
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Un...
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, ...
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, ...
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing ...
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
Compendium of free ML reading resources
Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S09...
This repository is used to collect underwater scene datasets and is always updated
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
MOMENT: A Family of Open Time-series Foundation 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.
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).
MOMENT: A Family of Open Time-series Foundation Models
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
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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, ...
Compilation of high-profile real-world examples of failed machine learning projects
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.
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
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
MOMENT: A Family of Open Time-series Foundation Models
[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.
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
Compilation of high-profile real-world examples of failed machine learning projects
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, ...
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
This repository is used to collect underwater scene datasets and is always updated
This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Demo on how to compute soccer ball possession automatically using AI.
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
A JavaScript image classifier used to identify explicit/pornographic content written in TypeScript.
Compendium of free ML reading resources
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
Compendium of free ML reading resources
MOMENT: A Family of Open Time-series Foundation Models
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
The official repo for "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly interface.
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
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.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
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.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
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
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Compendium of free ML reading resources
MOMENT: A Family of Open Time-series Foundation Models
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
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"
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
Notes of IBM Data Science Professional Certificate Courses on Coursera
Text classification with Foundation Language Model LLaMA
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera