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

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Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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249 Dec 21, 2022

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

Related tags

Overview

makelocal

exapmples

Usage

Owner

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution

AlgoVision - A Framework for Differentiable Algorithms and Algorithmic Supervision

The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"

Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Graph Representation Learning via Graphical Mutual Information Maximization

Landmarks Recogntion Web application using Streamlit.

Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

Code for "The Box Size Confidence Bias Harms Your Object Detector"

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Implementation for Curriculum DeepSDF

An Api for Emotion recognition.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models

Code & Data for Enhancing Photorealism Enhancement

Face Recognize System on camera AI OAK1

Sudoku solver - A sudoku solver with python

Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly

Official codebase for Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World