Zhivar Sourati's repositories
Reinforcement-Learning
This repository contains all the projects that I have done that fall under the Reinforcement Learning area. The projects are part of the graduate course RL offered at the University of Tehran under the supervision of Prof. Nili
summarization_t5
A simple fine tuning of mT5 for summarization
Advanced_NLP_course_HW3
Standard arc implementation of dependency parsing based on the paper named "A Fast and Accurate Dependency Parser using Neural Networks"
permutation-tests
The aim of this project is to apply different permutation tests on different datasets alongside checking their accuracy and flaws. This project was part of my thesis under the supervision of Dr. Bahrak at the University of Tehran.
artificial-intelligence-data-science
This repository contains all the projects I have done that fall under artificial intelligence and data science.
Neural-Networks
The aim of this repository is to include all the projects I have done that fall under Neural Networks.
Advanced_NLP_course
Assignments of the Advanced NLP course offered at University of Southern California by Dr. Jon May
Advanced_NLP_course_HW1
This assignment is about writing two (or more) linear classifiers and testing them out on multiple kinds of classification tasks. While the key models should not be difficult to implement, expect to spend some time setting up the general framework (which you will largely re-use in HW2) and considerable time investigating different classes of features that will be applicable for each of the tasks.
Advanced_NLP_course_HW2
This assignment is about using the infrastructure you built in HW1, now applying a non-linear classifier (specifically, a one-layer feed-forward network) to the problem. The key is that we want you to implement the model by hand, without using neural network or machine learning frameworks. Here is a nice post on why such exercise of implementing your own forward and backward passes is useful. After you do this, you should compare your implementation to a PyTorch implementation (that you should also write) and to the results you got in HW1.
angular_practice
The aim of this repository is to practice and illustrate the functionality of different angular modules, for example, angular containers.
armed-bandit
Solving n-armed-bandit problems using different policies to find the path with the least regret. The policies used in this project were policy gradient and Thompson sampling. All the environments and agents are implemented with the aid of the Amalearn library. This project was carried out as part of the Reinforcement learning master course offered at the University of Tehran under the supervision of Prof Nili.
Beam-Search-constrained-
In this repo, different configurations of Beam Search are explored as well as constrained ones
Custom-Twitter-API
This repository provides a set of suitable functions to get different data associated with users and their timelines.
event-extractor
This repository is a python package that is able to extract events in a given time.
image-processing-front-end
The front-end part of the project titled the Image processing web app that is mainly responsible for conversions and transformations on different pictures uploaded.
Internet_Engineering_Course
A fully implemented web app for food delivery using java spring as its backend and react-js as its frontend. All the relevant part of this project are included such as MySQL, and docker.
ISO-3166-Countries-with-Regional-Codes
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
nvidia-htop
A tool for enriching the output of nvidia-smi.
pytorch-tutorials
The aim of this repository is to practice and delve deeper into the structure and design of different models developed in Neural Network research area. Basic neural network, Convolutional neural network, and Recurrent neural networks are included in this repository.
sentence_scoring
A simple script to score a sentence based on a language model and how likely is it to see the sentence.
Variational-Auto-Encoder
This repo contains the implementation of a VAE and CVAE and applies that on MNIST dataset for modeling and generating different digits.