Statistics for topic classification
RepositoryStats tracks 603,506 Github repositories, of these 549 are tagged with the classification topic. The most common primary language for repositories using this topic is Python (284). Other languages include: Jupyter Notebook (129), C++ (16), R (11), JavaScript (11)
Stargazers over time for topic classification
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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).
deep learning for image processing including classification and object-detection etc.
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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).
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...
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
This repository is used to collect underwater scene datasets and is always updated
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 ...
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).
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
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...
Repository for CARTE: Context-Aware Representation of Table Entries
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
TensorRT-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.
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...
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
MOMENT: A Family of Open Time-series Foundation Models
[ECCV2024] Official implementation of paper, "DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs".
ποΈ A machine-learning approach to predict Formula 1 Grand Prix race outcomes.
Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.