Pinned Repositories
Code-on-time-challenge
Code on Time 2024 By Meritis (April-May)
Eviaiy
Extract-Food-Facts
This tool uses LLM and OCR to extract nutrition information from food images, converting it into structured JSON for easy analysis by data enthusiasts.
FFT-Parallelization
Implementation and comparison of Fast Fourier Transform algorithms with a comprehensive focus on parallelization. This project aims to explore and evaluate the performance of various FFT algorithms in different parallel computing environments, providing insights into their efficiencies and scalability
Forecasting-New-York-City-s-Future-Water-Demand
This repository hosts a data analysis and predictive modeling project aimed at forecasting the future water demand in New York City. Using historical annual water usage data from 1979 to 2019, the project applies machine learning and time series forecasting techniques to predict the city's water needs in the upcoming years.
ganhacks
starter from "How to Train a GAN?" at NIPS2016
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Sentiment_Analysis
Eviaiy's Repositories
Eviaiy/Extract-Food-Facts
This tool uses LLM and OCR to extract nutrition information from food images, converting it into structured JSON for easy analysis by data enthusiasts.
Eviaiy/FFT-Parallelization
Implementation and comparison of Fast Fourier Transform algorithms with a comprehensive focus on parallelization. This project aims to explore and evaluate the performance of various FFT algorithms in different parallel computing environments, providing insights into their efficiencies and scalability
Eviaiy/Forecasting-New-York-City-s-Future-Water-Demand
This repository hosts a data analysis and predictive modeling project aimed at forecasting the future water demand in New York City. Using historical annual water usage data from 1979 to 2019, the project applies machine learning and time series forecasting techniques to predict the city's water needs in the upcoming years.
Eviaiy/machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Eviaiy/ganhacks
starter from "How to Train a GAN?" at NIPS2016
Eviaiy/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
Eviaiy/Sentiment_Analysis
Eviaiy/Code-on-time-challenge
Code on Time 2024 By Meritis (April-May)
Eviaiy/Eviaiy
Eviaiy/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
Eviaiy/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Eviaiy/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Eviaiy/MISTRALxALAN-Hackathon-2024