🤖 AI projects, this is where I post my most recent experimentations with AI frameworks, mainly RAG, Agents, and LLMs
🛍️ Fashion Recommender System, a system that detects fashion objects and learns image representations through Neural Networks. It also utilizes ANN similarity search index to retrieve and rank these image representations.
- Models used: YOLOv5, Convolutional Autoencoder
- Vector Store: FAISS Flat Index
- Object Detection Model Repo, the object detection model was used to detect fashion objects and obtain bounding box coordinates
- Embedding Model Repo, the model then obtain a 512-dimensional embedding of each detected fashion objects with an embedding model, and utilized an ANN algorithm to find the top-k similar images based on their vector embeddings
- It currently contains my notebooks related to my experiments with different models and algorithms while working on the fashion recommender project above.
- Image Classification with CNN (multiclass classification)
- Image Segmentation with UNET and a pretrained ResNet backbone (multilabel classification)
- Feature Extraction with pre-trained ResNet18 architecture (fashion-recommender-v1)
- ANN Similarity Search Index comparisons (fashion-recommender-v1)
📺 Movie Recommender System , built a two tower model using TensorFlow and Netflix Dataset
🐉 Mini Adventure Game, my first mini project with Python
📊 An Analysis of Bike Services Data with R
💻 An analysis of Yelp Reviews with SQL