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

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

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

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

Code for ANA at SemEval-2019 Task 3

Hierarchical Attention for Dialogue Emotion Classification (SemEval, NAACL)

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

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

Library for Deep Gaussian Processes based on GPflow

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

bare bone Hierarchial Temporal Memory

Hierarchical Time Series Forecasting

Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.

Train Faster and Boost Performance with Class Hierarchies. Build Robust Representations Less Prone to Serious Classification Errors. - PyTorch code for paper: "A Hierarchical Loss for Semantic Segmentation" VISAPP/VISIGRAPP 2020

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

RAG with branching search based on knowledge domains. Uses Qdrant or Marqo DB as the database.