Skip to content
View rlodhicode's full-sized avatar

Highlights

  • Pro

Block or report rlodhicode

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. book-tracker-personal book-tracker-personal Public

    Forked from CSCI3308-Group7-Book-Tracker/book-tracker

    Our application will be a book tracking interface that allows users to track their own reading progress with insightful statistics, share book reviews with an online community, and explore a colle…

    EJS

  2. InstantNGP_Nerf_Itokawa_Asteroid InstantNGP_Nerf_Itokawa_Asteroid Public

    For a Deep Learning and Neural Networks class. Wanted to use a more modern approach to reduce accumulated errors between approximating pose and translation of celestial bodies, visualized mapping w…

    HTML

  3. ModelAgnosticQueryBuilder ModelAgnosticQueryBuilder Public

    A project that abstracts query dispatching. Utilizes various design patterns allowing users to create queries that are dispatched across various SQL and NoSQL engines. Currently supports simple pos…

    Java

  4. mongo-sharded-project mongo-sharded-project Public

    An exploration project that creates a sharded mongo database with replication configurations across four clusters. Utilizes various mongo tools to manage and manipulate distribution and load-balanc…

  5. hackcu11-pantry-management/ai-pantry-assistant hackcu11-pantry-management/ai-pantry-assistant Public

    #1 HackCU11 General Track Winner!

    JavaScript 3 1

  6. IamMohitGupta/NLP-Project-SemEval-Task8 IamMohitGupta/NLP-Project-SemEval-Task8 Public

    SemEval 2026 Task 8: Multi-Turn Retrieval-Augmented Generation (MT-RAG) - Implementations for Subtasks A, B, and C using Milvus, pgvector, MiniLM, Qwen models, and cross-encoder reranking.

    Jupyter Notebook