Karandeep Nanda's repositories
Stable-Diffusion-Model
This repository features a VAE for image enhancement, a Diffusion model for image generation, and CLIP embedding for versatile text and image embeddings, all in PyTorch.
Backdrop-Repo
This is just an example repository for Backdrop Build Hackathon
BasePair-Counter
DNA base pair counter
Brain-Tumor-detection
Deep learning model using a fine-tuned ResNet-50 architecture to detect brain tumors in MRI images
Breast-Cancer_Detection
Usage of different Statistical analyses to determine which one is the most accurate for Breast Cancer Detection.
COVID19-Predictive-Analysis
This project employs time series analysis to forecast COVID-19 trends, utilizing SARIMA and ARIMA models to predict confirmed cases and deaths, respectively. The comprehensive code, featuring data preprocessing, exploratory data analysis, and model comparisons, provides a valuable resource for understanding and predicting the pandemic's impact.
Disease-Indicator-with-Drug-recommendations
NLP Prediction model that detects medical condition and offers drug recommendations
NLP-web-app
The NLP Based Web App utilizes advanced transformers and NLP techniques for text summarization, sentiment analysis, named entity recognition (NER), text completion, and question answering.
Spatial-RNA-Analysis
This project employs Scanpy in Python for analyzing spatial transcriptomics data, encompassing preprocessing, quality control, clustering, and marker gene identification, resulting in informative visualizations to reveal gene expression patterns and cellular interactions within tissue samples.
Transformer
This repository provides a PyTorch implementation of the Transformer model, a powerful architecture for various natural language processing tasks. It offers modularity, flexibility, and customizable hyperparameters, making it suitable for tasks like machine translation and text generation.
Diabetes-Detection
Project outlining medical conditions and their relation to diabetes
DNA-Decoder
Convert your favourite gene sequence(s) into an amino acid(s) with this python script!
MNIST-classifier-from-scratch
This project compares the training and evaluation of MNIST digit classification using PyTorch and Numpy. It showcases Numpy's capability, outperforming PyTorch during training with higher accuracy.
Neurobio-212
Notes and lecture slides that taken from Neurobio 212 class at Harvard found online