purnasai

Dino_V2. Dino V2 for Classification, PCA Visualization, Instance Retrival: https://arxiv.org/abs/2304.07193

CLIP_Image_Retrieval. Image/Instance Retrieval using CLIP, A self supervised Learning Model

Emotion-Detection-Using-AI. Emotion detection using Computer vision | My final year project

Linear_regression_with_blog. Explained Linear Regression on medium, check out the link here:

Image-Copy-Detection-with-Contextual-Hash-Embedding. This is the Code(unofficial) for the paper "CNN Feature Extraction for Image copy Detection with Contextual Hash Embedding"

purnasai.github.io. My personal webpage

DHS-LLM-Workshop. DHS 2023 LLM Workshop by Sourab Mangrulkar

practice. This contains all my practices on Convolution Nueral nets on MNIST, Image classifier Dogs and Cats, Nueral style transfer pytroch, NN from scratch, Imabalance data, Data cleaning

Andrew-ng-deep-learning-course. Assignments, Notebooks, Quizzes of Andrew Deep learning course here

Databricks_LLM101_application_through_prodcution. This project contains the lab notebooks from course: Large Language Models: Application through Production by Databricks

GradientDescent_Implementation. Implement different variants of gradient descent in python using numpy

Research-paper-reviews. This Repo is a Collection of All the Research Papers that I Reviewed, Annotated and Learnt from.

DeepLearning-PadhAI. All the code files related to the deep learning course from PadhAI

Amazon_apparel_recommendation_workshop. In this workshop there are techniques used like Bag of words, TF-IDF, word2vec.