Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.

Build Cover Letter with ChatGPT

SemEval 2020 Task 4: Commonsense Validation and Explanation.

we have implemented a relation extraction with the help of a classifier that can classify a given sentence to one of the four classes of publisher, performer, director, character.

We used hmm and brill taggers to tag sentences. Also, to achieve a better performance, we fine-tuned the hmm and brill taggers on the development data and test them on in-domain and out-of-domain t…

Building n-gram language model from scratch.

Used context-free grammar (CFG) and constituency parsing to build a grammar checker.

Extract information from written text

Implementation of Perceptron using Python

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. Th…

This code simulate effect of using edge computing for NFV.

simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper

Developing the first page of Google for learning front-end development

Dynamic programming examples