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basic-verilog-and-vhdl-codes

Explore foundational VHDL and Verilog codes to hone your skills in digital design.

classification-algorithms-implementation

This project implements various Classification algorithms to provide a comprehensive understanding of Classification techniques.

clustering-and-arl-algorithms-implementation

This project implements various clustering and associative rule-based learning (ARL) algorithms to provide a comprehensive understanding of these techniques.

clustering-with-fiftyone

This project demonstrates how to structure unstructured visual data using clustering techniques with FiftyOne and Scikit-learn. We use CLIP embeddings and UMAP for dimensionality reduction and visualize clusters with the FiftyOne App. Additionally, we label clusters using GPT-4V to enhance understanding of cluster characteristics.

generative-adversarial-networks-for-image-creation

The image generation project aims to generate realistic fashion images using a Generative Adversarial Network (GAN). It leverages TensorFlow to train the model and generate new images based on the Fashion MNIST dataset.

llava-image-description-generator

This project utilizes the LLaVA model, an end-to-end trained large multimodal model designed to understand and generate content based on both visual inputs (images) and textual instructions.

mnist-digit-recognition

This project focuses on the development of a machine learning model designed to recognize and predict handwritten digits using the MNIST dataset

nlp-driven-sentiment-classification-with-bag-of-words-for-restaurant-reviews

This project focuses on sentiment classification of restaurant reviews using Natural Language Processing (NLP) techniques. The project leverages the Bag of Words model to vectorize text data and employs a Naive Bayes classifier to predict whether a review is positive or negative.

oh-my-posh

The most customisable and low-latency cross platform/shell prompt renderer

regression-algorithms-implementation

This project implements various regression algorithms to provide a comprehensive understanding of regression techniques.

solar-panel-defect-detection

Detection of Solar Panel Defects using Physical and Thermal Images

yugeshsivakumar