khalidezzeldeen Goto Github PK
Name: Khalid Ezzeldeen
Type: User
Company: Neuron
Location: United Arab Emirates
Name: Khalid Ezzeldeen
Type: User
Company: Neuron
Location: United Arab Emirates
deep learning specialization by andrew ng though deeplearning.ai on coursera
This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.
Plotting Assignment 1 for Exploratory Data Analysis
Easy-first dependency parser based on Hierarchical Tree LSTMs
This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalance in a binary classification problem.
IPSUR, Introduction to Probability and Statistics Using R, is a textbook written for an undergraduate course in probability and statistics. IPSUR is FREE, in the GNU sense of the word.
Config files for my GitHub profile.
Repository for Data Scientit's course
Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A minimal span-based neural constituency parser
Machine learning cheatsheet
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Examples and guides for using the OpenAI API
:rocket: State-of-the-art syntactic/semantic parsers, with pretrained models for more than 19 languages.
Parsing Course Project - A CYK implementation with CNF
Multilingual text (NLP) processing toolkit
Repository for Programming Assignment 2 for R Programming on Coursera
Implementation and study of the CKY algorithm
40+ Common code and interview problems solved in Python (it's growing...) Please go through the README.md before starting.
R for data science
A repository which contains the material for Rasa workshops
This is repository to maintain all solutions of Reinforcement learning course on coursera by University of Alberta and Alberta Machine Learning Institute.
Peer Assessment 1 for Reproducible Research
Restricted Boltzmann Machine for collaborative filtering of movies.
High-accuracy NLP parser with models for 11 languages.
Bi-directional LSTM implementation of SentimentRNN (from PyTorch Scholarship Challenge)
Starter code for Stanford CS224n default final project on SQuAD 2.0
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.