This repository contains PyTorch models for SpecTr (Spectral Transformer).

Last update: Dec 13, 2022

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Deep Learning SpecTr

Overview

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

This repository contains PyTorch models for SpecTr (Spectral Transformer).

SpecTr is a hybrid transformer backbone that can be easily applied to other hyperspectral images.

Owner

Boxiang Yun

Never stop exploring the world

GitHub Repository

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This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".

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Source codes for "Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs"

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Code for "Unsupervised State Representation Learning in Atari"

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GEP (GDB Enhanced Prompt) - a GDB plug-in for GDB command prompt with fzf history search, fish-like autosuggestions, auto-completion with floating window, partial string matching in history, and more!

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Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow >= 1.2rc0

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Some pvbatch (paraview) scripts for postprocessing OpenFOAM data

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Flower - A Friendly Federated Learning Framework

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A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

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Code for the Weighted, Accelerated and Restarted Primal-dual algorithm. This algorithm achieves stable linear convergence for reconstruction from undersampled noisy measurements under an approximate sharpness condition. See the paper for details.

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This repository contains PyTorch models for SpecTr (Spectral Transformer).

Related tags

Overview

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Owner

Boxiang Yun

Deep Learning for Time Series Classification

Create time-series datacubes for supervised machine learning with ICEYE SAR images.

Implementation of Online Label Smoothing in PyTorch

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis

Space Time Recurrent Memory Network - Pytorch

This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".

Source codes for "Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs"

EdiBERT, a generative model for image editing

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Code for "Unsupervised State Representation Learning in Atari"

GEP (GDB Enhanced Prompt) - a GDB plug-in for GDB command prompt with fzf history search, fish-like autosuggestions, auto-completion with floating window, partial string matching in history, and more!

Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Some pvbatch (paraview) scripts for postprocessing OpenFOAM data

Flower - A Friendly Federated Learning Framework

A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

Official implementation of the paper "Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering"

I3-master-layout - Simple master and stack layout script

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

Tutel MoE: An Optimized Mixture-of-Experts Implementation

Code for the Weighted, Accelerated and Restarted Primal-dual algorithm. This algorithm achieves stable linear convergence for reconstruction from undersampled noisy measurements under an approximate sharpness condition. See the paper for details.