Bot

A bot for easy execution and surveillance of crypto trading plans on multiple exchanges

EazeBot Free python/telegram bot for easy execution and surveillance of crypto trading plans on multiple exchanges. Have you ever traded cryptocurrencies and lost overview of your planned buys/sells? Have you encountered the experience that your buy order was executed while you slept, and before you could place any stop-loss, the price rushed so deep that you made huge loss? Have you ever complained about that there is no exchange where you can set for one and the same coin a […]

Read more
Tool

Tools to easily create permissioned CRUD endpoints in graphene

graphene-django-plus Tools to easily create permissioned CRUD endpoints in graphene-django. Install pip install graphene-django-plus To make use of everything this lib has to offer, it is recommended to installboth graphene-django-optimizerand django-guardian. pip install graphene-django-optimizer django-guardian What it does Provides some base types for Django Models to improve querying them with: Provides a set of complete and simple CRUD mutations with: Unauthenticated user handling Permission handling using the default django permission system Object permission handling using django guardian Automatic input generation […]

Read more
Python

The Square Root Function in Python

Are you trying to solve a quadratic equation? Maybe you need to calculate the length of one side of a right triangle. You can use the math module’s sqrt() method for determining the square root of a number. This course covers the use of math.sqrt() as well as related methods. In this course, you’ll learn: About square roots and related mathematical operations How to use the Python square root function, sqrt() Where sqrt() can be useful in real-world examples   […]

Read more
Advanced, Algorithm, NLP, Project, Python, Text

How to Perform Basic Text Analysis without Training Dataset

This article was published as a part of the Data Science Blogathon Overview This article will give you a basic understanding of how text analysis works. Learn the various steps of the NLP pipeline Derivation of the overall sentiment of the text. Dashboard depicting the general statistics and sentiment analysis of the text. Abstract In this modern digital era, a large amount of information is generated per second. Most of the data humans generate through WhatsApp messages, tweets, blogs, news articles, […]

Read more
Advanced, NLP, Project, Python, Text, Unstructured Data, Use Cases

Learn to Develop Simple Chatbots using Python and Deep Learning!

This article was published as a part of the Data Science Blogathon Introduction A Chatbot is an application(software) that is used to manage an online chat conversation through text or text to speech format. Most of the chatbots are accessed online through various websites or assistances(virtual) with a popup. Examples:- E-commerce websites, health, news, etc. Image source: https://www.syncfusion.com/blogs/wp-content/uploads/2020/01/tile.jpg   Agenda of this article: 1) Data and Libraries 2) Initialize Training of Chatbot 3) Build the Deep Learning Model 4) Build GUI of […]

Read more
Advanced, NLP, Project, Python, Technique, Unstructured Data

Part 9: Step by Step Guide to Master NLP – Semantic Analysis

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed some important tasks of NLP. I hope after reading that article you can understand the power of NLP in Artificial Intelligence. So, in this part of this series, we will start our discussion on Semantic analysis, which is a level of the NLP tasks, and see all the […]

Read more
Advanced, NLP, Python, Text

Part 15: Step by Step Guide to Master NLP – Topic Modelling using NMF

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed all the basic concepts related to Topic modelling. Now, from this article, we will start our journey towards learning the different techniques to implement Topic modelling. In this article, we will be discussing a very basic technique of topic modelling named Non-negative Matrix Factorization (NMF). So, In this […]

Read more
Advanced, NLP, Text

Part- 19: Step by Step Guide to Master NLP – Topic Modelling using LDA (Matrix Factorization Approach)

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this series, we completed our discussion on LDA, in probabilistic terms. Probably, this article is the last part on Topic modelling since we covered almost all important techniques used for Topic Modelling.  So, In this article, we will discuss another approach, named matrix factorization to understand the LDA which […]

Read more
Beginner, NLP, Python, Text, Word Embeddings

Word2Vec For Word Embeddings -A Beginner’s Guide

This article was published as a part of the Data Science Blogathon Why are word embeddings needed? Let us consider the two sentences – “You can scale your business.” and “You can grow your business.”. These two sentences have the same meaning. If we consider a vocabulary considering these two sentences, it will constitute of these words: {You, can, scale, grow, your, business}. A one-hot encoding of these words would create a vector of length 6. The encodings for each of […]

Read more
Machine Learning

The winning solution of the Endocv-2021 grand challange

Endocv2021-winner This is the winning solution of the Endocv-2021 grand challange. Dependencies pytorch # tested with 1.7 and 1.8 torchvision tqdm pandas numpy albumentations # for augmentations torchsummary segmentation_models_pytorch # for basic segmentaion models pyra_pytorch # pyra_pytorch.PYRADatasetFromDF is used. But this can be replaced with normal pytorch dataset. Tri-Unet Block diagram of Tri-Unet How to train Tri-Unet and other basic models to DivergentNet? # To train Tri-unet python tri_unet.py train –num_epochs 2 –device_id 0 –train_CSVs sample_CSV_files/C1.csv sample_CSV_files/C1.csv –val_CSVs sample_CSV_files/C2.csv sample_CSV_files/C3.csv […]

Read more
1 … 578 579 580 581 582 … 939