Elvin's Projects
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Short snippets coming out of needs when working on Data Science projects
Short JavaScript code snippets for all your development needs
This repository contains solutions for Advent Of Code puzzles and cli tool to run solutions to get answers for input on site.
Scrape from internet, combine with LLMs
AI Talks - ChatGPT Assistant via Streamlit
The software service which scrapes, stores, analyzer, summarizes and displays the summarization text
š Text-prompted Generative Audio Model - With the ability to clone voices
Scripts from Neural network inference on Pytorch with tools like ONNX, TensorRT, nvFuser, TorchDynamo, Triton
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Public repo for HF blog posts
Cross Chain Monitoring Tool
CSS of Amaze with Wow and Animate.css repos including loading animations , blurring buttons, and lots more
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Data Structures Complexity stuff
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Collection of code and explanations about few SOTA architechtures by Huggingface
Efficient Similar/Duplicate Sentence Search on Large Corpus LLMs
Intro
for intro
Sample Applications to kickstart Generative AI Application Development on Google Cloud.
Hands-on Medium Deep learning Applications in real-case, ex: Kaggle kernels
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
is for the implmentation of th simpler projects with the Python (Machine Learning application) which was created as opposing to the HandsMediumOn repo
Conversational Customer Care Chatbot deployed on IBM Cloud
Intent Recognition and classification with GRU, LSTM stacking, DeepPavlov and BERT models
Deployed a Keras Intent Recognition model, with blending of codes from Intent Recognition tasks, Kaggle competitions, GRU, LSTM, BERT, and SGD models
This app is designed for specific purpose of showing the liberated areas of Azerbaijanian territory with Mapbox, Flask