hasmeed Goto Github PK
Name: Hameed Yusuf
Type: User
Company: Freelancer
Bio: Software Engineer with a very strong skill in Python
Twitter: hasmeed
Location: India
Name: Hameed Yusuf
Type: User
Company: Freelancer
Bio: Software Engineer with a very strong skill in Python
Twitter: hasmeed
Location: India
Cut and paste your surroundings using AR
List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.
Vehicle Detection Project
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Solutions to problems sent by dailycodingproblem.com
Data Science Toolkits Project.
The Leek group guide to data sharing
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
GitHub notifications alike app for Django
django event and alert reporting.
Generating style-specific text from a small corpus of 2.5k sentences using a pre-trained language model. Code in PyTorch
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Job portal based on Django and sqlite database. it has everything job portal should have
Exemplary real world backend API built with Laravel
The Mongo Database
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. Recommender systems produce a list of recommendations in any of the two ways – Collaborative filtering: Collaborative filtering approaches build a model from user’s past behavior (i.e. items purchased or searched by the user) as well as similar decisions made by other users. This model is then used to predict items (or ratings for items) that user may have an interest in. Content-based filtering: Content-based filtering approaches uses a series of discrete characteristics of an item in order to recommend additional items with similar properties. Content-based filtering methods are totally based on a description of the item and a profile of the user’s preferences. It recommends items based on user’s past preferences. Let’s develop a basic recommendation system using Python and Pandas. Let’s focus on providing a basic recommendation system by suggesting items that are most similar to a particular item, in this case, movies. It just tells what movies/items are most similar to user’s movie choice.
Odoo. Open Source Apps To Grow Your Business.
Explorations of Using Python to play Grand Theft Auto 5.
A django reusable app for integrating Paystack into your application
Python Deep Learning Projects, published by Packt
Python tutorial series
Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.