A tool to prepare websites grabbed with wget for local viewing.

Last update: Apr 23, 2022

Related tags

Deep Learning makelocal

Overview

makelocal

A tool to prepare websites grabbed with wget for local viewing.

exapmples

After fetching xkcd.com with:

wget -r -no-remove-listing -r -N --page-requisites --adjust-extension -HD xkcd.com xkcd.com

You can run this command convert links in the HTML documents to refrence your local version.

find xkcd.com | grep '\.html' | grep -v '\.bak'| python3 convert.py -b `pwd`

Usage

usage: convert.py [-h] [-b] [-o] directory

Convert links in html files for local viewing. file names are read from stdin.

positional arguments:
  directory       The absolute location of the files.

options:
  -h, --help      show this help message and exit
  -b, --backup    Backup origninal files, recommended for first run
  -o, --original  Used backed up files, recommended for later runs

-b save the original file to [filename].bak this is usefull to avoid having to grab a fresh tree if you mess something up or move the files.

Owner

aka: BuggyBugs

GitHub Repository

DuBE: Duple-balanced Ensemble Learning from Skewed Data

DuBE: Duple-balanced Ensemble Learning from Skewed Data "Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning" (IEEE ICDE 2022 S

6 Nov 12, 2022

High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models Requirements A suitable conda environment named ldm can be created and activated with: conda env create -f environment.yaml co

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One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking This is an official implementation for NEAS presented in CVPR

19 Sep 08, 2022

Understanding the Generalization Benefit of Model Invariance from a Data Perspective

Understanding the Generalization Benefit of Model Invariance from a Data Perspective This is the code for our NeurIPS2021 paper "Understanding the Gen

1 Jan 15, 2022

PyTorch implementation of the Pose Residual Network (PRN)

Pose Residual Network This repository contains a PyTorch implementation of the Pose Residual Network (PRN) presented in our ECCV 2018 paper: Muhammed

289 Nov 28, 2022

Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.

Hire-Wave-MLP.pytorch Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP Resul

29 Oct 28, 2022

Use your Philips Hue lights as Racing Flags. Works with Assetto Corsa, Assetto Corsa Competizione and iRacing.

phue-racing-flags Use your Philips Hue lights as Racing Flags. Explore the docs » Report Bug · Request Feature Table of Contents About The Project Bui

50 Sep 03, 2022

PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

52 Jan 01, 2023

This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges

A STRONG BASELINE FOR VEHICLE RE-IDENTIFICATION This paper is accepted to the IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPR

78 Dec 29, 2022

A simple library that implements CLIP guided loss in PyTorch.

pytorch_clip_guided_loss: Pytorch implementation of the CLIP guided loss for Text-To-Image, Image-To-Image, or Image-To-Text generation. A simple libr

74 Dec 26, 2022

Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Coming soon!

ToxiChat Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Install depen

11 Jan 01, 2023

Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

SRHEN This is a better and simpler implementation for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in

1 Oct 28, 2022

A tool to prepare websites grabbed with wget for local viewing.

Related tags

Overview

makelocal

exapmples

Usage

Owner

DuBE: Duple-balanced Ensemble Learning from Skewed Data

High-Resolution Image Synthesis with Latent Diffusion Models

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

Understanding the Generalization Benefit of Model Invariance from a Data Perspective

PyTorch implementation of the Pose Residual Network (PRN)

Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.

Use your Philips Hue lights as Racing Flags. Works with Assetto Corsa, Assetto Corsa Competizione and iRacing.

PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning

This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges

A simple library that implements CLIP guided loss in PyTorch.

Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Coming soon!

Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

Code for MSc Quantitative Finance Dissertation

Human Pose estimation with TensorFlow framework

Invasive Plant Species Identification

Ranger deep learning optimizer rewrite to use newest components

Offline Reinforcement Learning with Implicit Q-Learning

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"