pradhyumn Goto Github PK

avoiding-hash-collisions

Storing combinatorial circuits in a database in C++ avoiding hash collisions for dissimilar truth tables.

bert_sentiment_analysis

Finetuning the pre-trained BERT language model for sentiment analysis.

big-data

Projects from the Big Data course

buy-america

conversational-agent-langchain

d2c

PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

disturbance-prediction-uav

Disturbance prediction with stable pose control for unmanned vehicles (American Control Conference 2022)

embedded-challenge

Conceptualized a microcontroller device with stress sensors using real-time embedded signal processing in C++ to detect Sudden Infant Death Syndrome in babies (<1 year age) with 97% precision. Please see the video for more details.

factory-plant-simulation

Simulation of the workflow in a factory plant between production and plant workers using buffers and multi-threading in C++

introduction-to-java

Assignments for the Introduction to Java Class at NYU.

isolated-sign-language-recognition

Deep Learning project on the Google- Isolated Sign Language Recognition

ivyhacks

Repository for codebase of Ivyhacks Hackathon Submission

multi-threaded-programming

music-recommender-system

Latent-factor based recommendation system (ALS) for music recommendation along with a single-machine implementation for faster training.

oops

This repo contains the code for all the assignments and projects for the object-oriented programming in C++

portfolio-default-rate

Mining actual bank data from Italy to calculate the portfolio default rate. The model intends to provide better predictions of the one-year probability of default (PD) for prospective borrowers.

pradhyumn

pradhyumn.github.io

resnet-image-classification

Optimizing Modified ResNet Architecture for CIFAR-10 Image Classification with Parameter Constraints

rl-based-active-portfolio-management

Implementing a deep reinforcement learning framework for Financial Portfolio Management.

siamese-networks

Few Shot Learning by Siamese Networks, using Keras.

slip

Zero Shot Context-Based Object Segmentation using SLIP (SAM+CLIP)

survival-rate-analysis-cancer-outcomes

Survival Rate Analysis using Decision Trees and Prior-Fitted Networks (TabPFN) for Cancer outcomes on non-small cell lung cancer (NSCLC) data from AACR.