classification

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Deep neural network to extract intelligent information from invoice documents.

Turn any computer or edge device into a command center for your computer vision projects.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

An open source library and framework for deep learning on satellite and aerial imagery.

A high-level machine learning and deep learning library for the PHP language.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

CVNets: A library for training computer vision networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

An all-in-one toolkit for computer vision

A Julia machine learning framework

Transformers 库快速入门教程

A Python package for time series classification

A curated list of data mining papers about fraud detection.

Python AutoML for Trading Systems and Sports Betting

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

Neural Network Compression Framework for enhanced OpenVINO™ inference