Author: Deep Learner
Python proxy bot for telegram
Proxy bot between the main chat and a newcomer, allows all participants to get to know each other better due to description messages #whois Deploy:
Read moreA Flask driven restful API for comparing two PDF files
A Flask driven restful API for comparing two PDF files. Description This project contains a POST endpoint (../compare) which takes in two PDF files as form-data input and returns a pdf which contains a side by side comparison of each page in the input PDFs. Installation / Usage If you wish to run your own build, first ensure you have python3 globally installed in your computer. After this, ensure you have installed virtualenv globally as well. If not, run this: […]
Read moreOpen Source computer Vision (OpenCV) – one of the most widely used tool for image processing and computer vision tasks
Open Source computer Vision (OpenCV) is one of the most widely used tool for image processing and computer vision tasks. This technique is utilized in numerous applications such as video capturing, face detection, object recognition, etc. This repository contains codes that addresses the basic concepts of image processing using OpenCV library. The following image processing tasks are; reading images, Saving image, capturing video, loading videos, convert color images to grayscale, saving real-time video, retrieving properties from images and video, creating […]
Read moreYoga asana classifier for python
Hi welcome to my new deep learning project “Yoga Asana Classifier / pose classifier “. This project as the name suggests can predict the yoga pose which you are doing in front of the webcam.This project comprise of three python scripts namely,Data CollectionData TrainingAnd finally Inference script.As all of the name suggest do there respective work. For this project I used mediapipe pose detection to detect the human body pose and after that I made model with simple Dense network […]
Read moreAsync library for connecting to the Binance API on Python
This is a lightweight library that works as a connector to Binance Futures public API Supported APIs: USDT-M Futures `/fapi/*“ Futures/Delivery Websocket Market Stream Futures/Delivery User Data Stream Inclusion of examples Response metadata can be displayed Installation pip install aio-binance-library Getting started REST API Usage examples:
Read moreMachine Translation Weekly 100: IGLUE as cool as igloo, multilingual and multimodal benchmark
This week I would like to feature a new multimodal-multilingual benchmark called IGLUE, presented in a pre-print that went out last Friday. The authors are from many place around the world: University of Copenhagen, Mila – Quebec Artificial Intelligence Institute, University of Cambridge, TU Darmstadt, New York University, and McGill University. Following the best practices from established multilingual benchmarks, the new multimodal and multilingual benchmark evaluates zero-shot cross-lingual transfer with the multimodal tasks. Zero-shot cross-lingual transfer means a task-specific model […]
Read moreDraw the Mandelbrot Set in Python
This tutorial will guide you through a fun project involving complex numbers in Python. You’re going to learn about fractals and create some truly stunning art by drawing the Mandelbrot set using Python’s Matplotlib and Pillow libraries. Along the way, you’ll learn how this famous fractal was discovered, what it represents, and how it relates to other fractals. Knowing about object-oriented programming principles and recursion will enable you to take full advantage of Python’s expressive syntax to write clean code […]
Read moreSpeechHacks – QHacks 2022 Project
QHacks 2022 Project- Liam Seagram, Jimmy Lu, Nolan Hepworth, Taylor Fiorelli Aim Using AssemblyAPI to perform text-to-speech and summarize the result. Dependencies/Installations To run the python code located in the scripts folder, here are the required installs: Next, you will need to install the nltk librairy to make the summarizer work. Here is the method that will work for local machines: Once that is done, run these two commands consecutively in python 3: import nltk nltk.download() This should open a […]
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