Author: Deep Learner

Advanced, NLP, Python, Structured Data, Text, Unsupervised

Natural Language Processing Step by Step Guide

This article was published as a part of the Data Science Blogathon Overview Basic understanding of Natural Language Processing. Learn Various Techniques used for the implementation of NLP. Understand how to use NLP for text mining. Prerequisite You must have a basic knowledge of Python. As we know every piece of data has some meaning in its position. Most important is that text data is getting generated in various formats like reviews, SMS, emails, and many more for every moment. The […]

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Machine Learning

Code for ICML 2021 paper: How could Neural Networks understand Programs?

OSCAR This repository contains the source code of our ICML 2021 paper How could Neural Networks understand Programs?. Environment Run following commands to build a docker image for the environment: cd docker sudo docker build -t oscar:latest . And you can launch a container with nvidia-docker command. sudo nvidia-docker run -it –mount type=bind,source=”$(pwd)”,target=/oscar oscar:latest To compile the binaries for processing the data: cd /oscar/bin make Then the OSCAR LLVM analyzer pass (located in analyzer), IR Lexer (located in irlexer), and […]

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Logging

A quick and simple Python logging

Python Quick Logging | QLogging Beautifully colored, quick and simple Python logging. This logger is based on Python logging package Screenshots: Terminal/CMD Notebooks: Windows: Features Color logging in Terminal and CMD Color logging in Jupyter Notebook and Jupyter Lab Color logging in Kaggle Notebook Color logging in Google Colab Notebook Know which function the logger was called from Know while line number the logger was called from Support logging to a file Simple and clean one-liner Customizable Installation $ pip […]

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Machine Learning

Rethinking the Design Principles of Robust Vision Transformer

Robust-Vision-Transformer Note: Since the model is trained on our private platform, this transferred code has not been tested and may have some bugs. If you meet any problems, feel free to open an issue! This repository contains PyTorch code for Robust Vision Transformers. For details see our paper “Rethinking the Design Principles of Robust Vision Transformer” First, clone the repository locally: git clone https://github.com/vtddggg/Robust-Vision-Transformer.git Install PyTorch 1.7.0+ and torchvision 0.8.1+ and pytorch-image-models 0.3.2: conda install -c pytorch pytorch torchvision pip […]

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Robot

CoWIN Auto Booking Slot With Python

CoWin-Termux Auto Slot Booking when there is a vaccine slot available at your location, by running a script on your phone. Getting Started By using Tremux you can run script and recieve the notification on your phone. Install Termux Installing Packages and Requirements OTP Fetching Methods // Three Options // AutoMode (a) : Fetch OTP using Termux:API App Install Termux:API ( Required v 0.31 to read SMS ) Apkpure Link. SiteMode (s) : Fetch OTP from Database Hosted on Cloudflare […]

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Python

How to Set Up a Django Project

When you start building any new Django web application, there’s a basic setup you need to tackle first. This course outlines the necessary steps to set up a Django project. During this course, you’ll focus on the initial steps you’ll need to take to start a new web application. You should first have Python installed and you should know how to work with virtual environments and Python’s package manager, pip. You won’t need much programming knowledge to follow along with […]

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Python

Shrinking your Python application’s Docker image: an overview

You’ve finished building the initial Docker image for your Python application, you push it to the registry–and that takes a while, because your image is 2GB. Your image is clearly too large, and so your next step is to try to make your Docker image smaller. In this article you’ll find an overview of the many techniques you can use to shrink your image, organized approximately by logical order packaging. The focus is on Python, though many of these techniques […]

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Machine Learning

PyTorch implementation of some learning rate schedulers for deep learning researcher

pytorch-lr-scheduler PyTorch implementation of some learning rate schedulers for deep learning researcher. Usage WarmupReduceLROnPlateauScheduler import torch from lr_scheduler.warmup_reduce_lr_on_plateau_scheduler import WarmupReduceLROnPlateauScheduler if __name__ == ‘__main__’: max_epochs, steps_in_epoch = 10, 10000 model = [torch.nn.Parameter(torch.randn(2, 2, requires_grad=True))] optimizer = torch.optim.Adam(model, 1e-10) scheduler = WarmupReduceLROnPlateauScheduler( optimizer, init_lr=1e-10, peak_lr=1e-4, warmup_steps=30000, patience=1, factor=0.3, ) for epoch in range(max_epochs): for timestep in range(steps_in_epoch): … … if timestep < warmup_steps: scheduler.step() val_loss = validate() scheduler.step(val_loss) TransformerLRScheduler import torch from lr_scheduler.transformer_lr_scheduler import TransformerLRScheduler if __name__ == '__main__': max_epochs, steps_in_epoch [...]

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Color

A lighweigt screen color picker tool with python

A lighweigt screen color picker tool. Availability Only GNU/Linux 🐧 Installing Install via pip (No auto-update): [sudo] pip install tkpick Usage $ tkpick or Tkpick or Application Menu > Graphics > Tkpick Shortcuts Shortcut Function Shift-c Copy color to clipboard Shift-a Open the about window Shift-q Close tool GitHub https://github.com/beucismis/tkpick    

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WebAssembly

Libraries for creating and controlling interactive web pages with Python

IDOM Libraries for creating and controlling interactive web pages with Python 3.7 and above. Try it Now Click the badge above to get started! It will take you to a Jupyter Notebookshosted by Binder with some great examples. Or Install it Now pip install idom[stable] IDOM can be used to create a simple slideshow which changes whenever a user clicks an image. import idom @idom.component def Slideshow(): index, set_index = idom.hooks.use_state(0) url = f”https://picsum.photos/800/300?image={index}” return idom.html.img({“src”: url, “onClick”: lambda event: […]

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