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1. Neural-Recon Neural-Recon Public

   This repository provides tools and scripts for processing the Natural Scenes Dataset (NSD), extracting features, training regression models, and reconstructing images using state-of-the-art deep le…

   Jupyter Notebook

2. HybridRAG HybridRAG Public

   A hybrid retrieval system for RAG that combines vector search and graph search, integrating unstructured and structured data. It retrieves context using embeddings and a knowledge graph, then passe…

   Jupyter Notebook 16 2

3. PuppyDB PuppyDB Public

   This is an experimental learning project to explore how vector databases work under the hood. Major components are being built step by step.

   Python

4. mono-cam-DeepVO mono-cam-DeepVO Public

   This project aims to recreate the "DeepVO (Deep Visual Odometry) network", a deep learning model designed for estimating camera motion from consecutive image frames. Visual odometry is an essential…

   Jupyter Notebook

5. GridWorld-PPO GridWorld-PPO Public

   A simple experimental project using Proximal Policy Optimization (PPO) from OpenAI's Spinning Up library, applied to a custom Grid World environment for path planning.

   Python 1 1

6. reddit-recsys reddit-recsys Public

   This project is a real-time multimodal recommendation system built on top of Reddit data. It processes image-caption pairs using CLIP to create joint embeddings, stores them in Qdrant, and supports…

   Python