Multi Resolution Texture Synthesis
Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Model Quantization | 1,449 | 3 months ago | ||||||||
| A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo. | ||||||||||
| Deep Compression Alexnet | 599 | 2 years ago | 1 | bsd-2-clause | Python | |||||
| Deep Compression on AlexNet | ||||||||||
| Awesome Quantization Papers | 201 | 3 months ago | 1 | mit | ||||||
| List of papers related to neural network quantization in recent AI conferences and journals. | ||||||||||
| Awesome Edge Machine Learning | 200 | a year ago | 1 | other | Python | |||||
| A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others. | ||||||||||
| Awesome Model Compression | 152 | a year ago | ||||||||
| papers about model compression | ||||||||||
| Tf2deepfloorplan | 107 | a year ago | 2 | gpl-3.0 | Python | |||||
| TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. | ||||||||||
| Multi Resolution Texture Synthesis | 97 | 4 years ago | 1 | mit | Jupyter Notebook | |||||
| Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers | ||||||||||
| Model Compression | 74 | 7 years ago | 2 | Python | ||||||
| This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016 | ||||||||||
| Dsq | 35 | 4 years ago | 1 | Python | ||||||
| pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks" | ||||||||||
| Loss Aware Weight Quantization | 21 | 5 years ago | gpl-3.0 | Python | ||||||
| Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks" | ||||||||||
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Jupyter Notebook
Paper
Texture
Synthesis
Quantization