classification

Github repo with tutorials to fine tune transformers for diff NLP tasks

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

Compilation of high-profile real-world examples of failed machine learning projects

A general classifier module to allow Bayesian and LSI classifications.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.

[CVPR2026]🚀🚀🚀Official code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." *(YOLO = You Only Look Once)* 🔥🔥🔥

A pytorch reimplementation of CheXNet

A unified multi-task time series model.

Clusters and elements to attach to MISP events or attributes (like threat actors)

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

Compendium of free ML reading resources

Artificial Neural Network

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Categorise transactions in Actual Budget using AI.