lbasyal
👋 Exploring the intersection of Electronics, Computer Vision, Generative AI, LLMs, and Stable Diffusion.
Pinned Repositories
AAI-551-Project
This is the project based on object oriented programming with python. This is the Gaming project "Best Card" The highest priority of the card is "King of Spades" and the lowest priority of the card is "Ace of Clubs" Spades > Hearts > Diamonds > Clubs King > Queen > Jack > Ace
AAI628_Deep_Learning
AAI628 Deep Learning
AAI695_Applied_ML
AAI 695 Applied Machine Learning (Pandas, Scikit-Learn, matplotlib, numpy)
Arduino-Home-Automation
This is a home automation project that enables remote control of electrical appliances through mobile applications.
ASX_Announcements_Viewer
ASX Announcements Viewer
CPE-593-Data-Structures-and-Algorithms
This repository provides codes under Data Structures and Algorithms. LCS_lbasyal.cc => Longest Common Subsequence using Memoization, for this a.txt and b.txt file has been used.
Histopathologic-Cancer-Detection-
Developed the classification models for cancer prognosis to efficiently utilize the information underlying the histopathological images.
LLMs-Text-Summarization
Text Summarization Using Large Language Models.
Stable_Diffusion
This repository explores stable diffusion for generating images.
Wine-Recommendation-System-Based-on-BERT
This project showcases the implementation of a high-performing multi-level classification model using the BERT pre-trained model. It achieves a remarkable 84% overall accuracy on a well-known public dataset, trained with a batch size of 16 over 10 epochs.
lbasyal's Repositories
lbasyal/LLMs-Text-Summarization
Text Summarization Using Large Language Models.
lbasyal/AAI-551-Project
This is the project based on object oriented programming with python. This is the Gaming project "Best Card" The highest priority of the card is "King of Spades" and the lowest priority of the card is "Ace of Clubs" Spades > Hearts > Diamonds > Clubs King > Queen > Jack > Ace
lbasyal/AAI628_Deep_Learning
AAI628 Deep Learning
lbasyal/AAI695_Applied_ML
AAI 695 Applied Machine Learning (Pandas, Scikit-Learn, matplotlib, numpy)
lbasyal/Arduino-Home-Automation
This is a home automation project that enables remote control of electrical appliances through mobile applications.
lbasyal/ASX_Announcements_Viewer
ASX Announcements Viewer
lbasyal/CPE-593-Data-Structures-and-Algorithms
This repository provides codes under Data Structures and Algorithms. LCS_lbasyal.cc => Longest Common Subsequence using Memoization, for this a.txt and b.txt file has been used.
lbasyal/Histopathologic-Cancer-Detection-
Developed the classification models for cancer prognosis to efficiently utilize the information underlying the histopathological images.
lbasyal/Stable_Diffusion
This repository explores stable diffusion for generating images.
lbasyal/Wine-Recommendation-System-Based-on-BERT
This project showcases the implementation of a high-performing multi-level classification model using the BERT pre-trained model. It achieves a remarkable 84% overall accuracy on a well-known public dataset, trained with a batch size of 16 over 10 epochs.
lbasyal/Data-Scraping
This project focuses on data scraping from Twitter using a specific hashtag to extract valuable information. It also provides insights into web scraping techniques using Selenium and Beautiful Soup.
lbasyal/FreeRTOS-
A program in C which converts latitude and longitude expressed in decimal degrees to degrees/minutes/seconds format with RTOS Programming.
lbasyal/Intent_classification
Intent based user instruction classification for electric automation.
lbasyal/lbasyal
Passionate about Computer Vision, Generative AI, LLMs, and Stable Diffusion. Committed to advancing AI and making technology accessible to all. Let's build the future together!
lbasyal/MIPS-Simulator
The goal of this project is to comprehend the design and operation of the MIPS datapath. To accomplish this, we will develop a cycle-accurate instruction-level simulator that supports a subset of the MIPS Instruction Set Architecture (ISA). This simulator will model the behavior of each instruction, enabling users to execute MIPS programs.
lbasyal/RAG
Retrieval Augmented Generation (RAG)
lbasyal/Sentiment-Analysis-on-Amazon-Datasets
Sentiment Analysis on Amazon Product Reviews.
lbasyal/Sentiment-Analysis-with-ML-models
Sentiment Analysis is an application of Natural Language Processing (NLP) which deals with text classification. This methodology classifies the text into various sentiments e.g., Positive or Negative, Happy, Sad or Neutral. The goal of this technique is to extract the underlying sentiment of a text that has been used in different social media.