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A powerful and easy-to-use web scrapper for collecting data from the web. Supports scraping of images, text, videos, meta data, and more. Ideal for machine learning and deep learning engineers. Dow…
A community-driven list of awesome linters.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A thesis submitted for the degree of Master of Science in Computer Networks and Security
Anomaly detection related books, papers, videos, and toolboxes
A library to generate LaTeX expression from Python code.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.
📝 An awesome Data Science repository to learn and apply for real world problems.
Here there are a few of the projects I've done in Machine Learning.
Machine learning models and related examples
common data analysis and machine learning tasks using python
All Algorithms implemented in Python
Streamlit — A faster way to build and share data apps.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
A project template for Data Science & Machine Learning Projects.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
An email newsletter application for the Django web application framework, including an extended admin interface, web (un)subscription, dynamic e-mail templates, an archive and HTML email support.
A blog application made with Django and bootstrap
This is a straightforward CRUD (Create, Read, Update, Delete) application built with Django 4, Bootstrap 4, and PostgreSQL.
The code that powers djangosnippets.org, it allows users to post and share useful "snippets" of code.
This project contains a client software that is used to send messages between clients on different computers using a model of client-server.