TK_Aslanyan's starred repositories
openai-python
The official Python library for the OpenAI API
Face-Mask-Detection
Detecting face masks using Python, Keras, OpenCV on real video streams
Quantum-Computing-Collection-Of-Resources
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
twitter-emotion-recognition
Models for predicting emotions from English tweets.
KenLM-training
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Printing-Pattern-Programs
An Awesome, Well Maintained Repository Containing Huge Collection Of Printing Patterns Programs In C, C++, Python, Java And C#. Asked In Contests/Interviews.Helpful In Understanding Looping Constructs And Build Logic Behind How To Print Any Given Pattern.
invertible_neural_networks
Normalizing-flow Invertible Neural Networks (TensorFlow2+Keras)
BabyGPT-Build_GPT_From_Scratch
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
Scala-Machine-Learning
No Dependency Scala Machine Learning Algorithm Gallery
old-simple-app
Some simple structure in different languages for made simple web sites without database
salary-predictor
Deep learning model using NLP to predict job salary based on Indeed job postings
Python-Geek-University
Curso completo de Python da Udemy
Image-Caption-Generator
AI will Generate captions from photos that is called image caption generator
deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Pattern-Recognition-and-Data-Analysis-for-Behavioural-Economics
Identified patterns and provided insights using EDA on user’s previous data on the product page of an e-commerce website to provide targeted incentives for a higher return rate
Natural_Gas_Production
In this example, we will try to adopt a pure data-based approach to forecast Canada’s natural gas production using Facebook’s Prophet library. The idea of this post is to use a univariate time-series dataset and produce a best-fit model that allows us to confidently predict future production. We will be using the model to forecast the production for the next 10 years i.e. until 2030.
K-means-Hadoop-Implementation-on-Multi-Node-Cluster
Implemented the k-means clustering algorithm to classify water quality using data from the United States Geological Survey Salt Creek database on a 4-node Hadoop cluster
DataScience
Practice material for machine learning and data science methods
RecommenderSystems
Tinkering around with different aspects of recommender systems
Crude-Oil-Production-Forecast
How to Use Facebook’s Prophet library to Forecast the Canadian Crude Oil Production?
Customer_clustering.
Clustered customers into distinct groups based on similarity among demographical and geographical parameters. Applied PCA to dispose insignificant and multi correlated variances. Defined optimal number of clusters for K-Means algorithm. Used Euclidian distance as a measure between centroids.
enterprise_gateway
A lightweight, multi tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across an Apache Spark cluster.
PriyaBrataSen
Config files for my GitHub profile.
Graph-Based-Image-Segmentation
Classical method for image segmentation using graph based algorithm
IndeedSalaryPrediction
Indeed Salary Prediction