Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

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。

A hierarchical yaml config in Python

A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.

Code for ANA at SemEval-2019 Task 3

Hierarchical python configuration with files, environment variables and command-line arguments.

Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.

Visual Relation Grounding in Videos (ECCV'20, Spotlight)

Hierarchical Time Series Forecasting

Library for Deep Gaussian Processes based on GPflow

bare bone Hierarchial Temporal Memory

Model Agnostic Hierarchical Time Series in Python

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Hierarchical Attention for Dialogue Emotion Classification (SemEval, NAACL)

Python implementation of Bayesian hierarchical clustering and Bayesian rose trees algorithms.

Contains applications and visualizations used in my Bachelor Thesis "Comparing prevalent Clustering Algorithms for Document Clustering"

非线性深度矩阵分解

Theme based story generation using a hierarchical approach