Transformer Huffman coding - Complete Huffman coding through transformer

Last update: May 19, 2022

Overview

Transformer_Huffman_coding

Complete Huffman coding through transformer

2022/2/19 Release Notes 1: generate a new branch

2: Divide the previous main.py file into three: main.py ----->Responsible for sequence training
model.py ----->The construction of transformers model
utils.py ----->Create a training data generation function

3: Deleted the function in the original file that will automatically generate the corresponding Huffman encoding according to the sequence

4: import Huffman package is used to generate a constant codebook

5: Beautify my code with prettier

Issues awaiting resolution : 1:Add code to generate attention map

2:The print that checks the intermediate result is removed from the code

3:Chinese comments in translation code

Owner

GitHub Repository

Solving reinforcement learning tasks which require language and vision

Multimodal Reinforcement Learning JAX implementations of the following multimodal reinforcement learning approaches. Dual-coding Episodic Memory from

31 Feb 26, 2022

Pairwise Learning for Neural Link Prediction for OGB (PLNLP-OGB)

Pairwise Learning for Neural Link Prediction for OGB (PLNLP-OGB) This repository provides evaluation codes of PLNLP for OGB link property prediction t

31 Oct 10, 2022

Image data augmentation scheduler for albumentations transforms

albu_scheduler Scheduler for albumentations transforms based on PyTorch schedulers interface Usage TransformMultiStepScheduler import albumentations a

19 Aug 04, 2021

Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"

Generative design of breakwaters usign deep convolutional neural network as a surrogate model This repository contains the code for the paper "Generat

2 Apr 10, 2022

Pytorch implementation of FlowNet by Dosovitskiy et al.

FlowNetPytorch Pytorch implementation of FlowNet by Dosovitskiy et al. This repository is a torch implementation of FlowNet, by Alexey Dosovitskiy et

762 Jan 02, 2023

Code for paper ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

Who Left the Dogs Out? Evaluation and demo code for our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization

29 Dec 28, 2022

This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".

Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation This repo is the official implementation of Exploiting Temporal Con

241 Jan 07, 2023

public repo for ESTER dataset and modeling (EMNLP'21)

Project / Paper Introduction This is the project repo for our EMNLP'21 paper: https://arxiv.org/abs/2104.08350 Here, we provide brief descriptions of

19 Oct 27, 2022

Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Official Implementation of SimIPU SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations Since

37 Dec 01, 2022

Implemented fully documented Particle Swarm Optimization algorithm (basic model with few advanced features) using Python programming language

Implemented fully documented Particle Swarm Optimization (PSO) algorithm in Python which includes a basic model along with few advanced features such as updating inertia weight, cognitive, social lea

9 Nov 29, 2022

ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

2 Apr 28, 2022

Transformer Huffman coding - Complete Huffman coding through transformer

Related tags

Overview

Transformer_Huffman_coding

Owner

Solving reinforcement learning tasks which require language and vision

Pairwise Learning for Neural Link Prediction for OGB (PLNLP-OGB)

Image data augmentation scheduler for albumentations transforms

Code for the paper "Generative design of breakwaters usign deep convolutional neural network as a surrogate model"

Pytorch implementation of FlowNet by Dosovitskiy et al.

Code for paper ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

This is an official implementation for "Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation".

public repo for ESTER dataset and modeling (EMNLP'21)

Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Implemented fully documented Particle Swarm Optimization algorithm (basic model with few advanced features) using Python programming language

ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.

Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Tools for manipulating UVs in the Blender viewport.

OpenL3: Open-source deep audio and image embeddings

C3d-pytorch - Pytorch porting of C3D network, with Sports1M weights

A repository for storing njxzc final exam review material

Implementation of FSGNN

Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.

GT China coal model

Code for the paper "Jukebox: A Generative Model for Music"