Retrieval-Augmented Generation Chat Bot using Ollama, Langchain and Gradio.

Examples of chatbot implementations with Langchain and Streamlit

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

Korean BERT pre-trained cased (KoBERT)

KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

PyTorch code and models for the DINOv2 self-supervised learning method.

Pytorch Implementation of Unifying Deep Local and Global Features for Image Search (DELG)

(Unofficial) PyTorch implementation of Training Vision Transformers for Image Retrieval(El-Nouby, Alaaeldin, et al. 2021).

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Implementing Vi(sion)T(transformer)

📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Large-Scale Visual Representation Model

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A PyTorch implementation of CGD based on the paper "Combination of Multiple Global Descriptors for Image Retrieval"

Combination of Multiple Global Descriptors for Image Retrieval

End-to-end learning of deep visual representations for image retrieval

This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.

Wrapper of DELF Tensorflow Model

Models and examples built with TensorFlow

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

NetVLAD: CNN architecture for weakly supervised place recognition

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

create "Karpathy's style" 2d images out of your image embeddings

A MNIST-like fashion product database. Benchmark 👇

Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

A library for efficient similarity search and clustering of dense vectors.

Using efficientnet to provide embeddings for retrieval

A PyTorch implementation of the Deep SVDD anomaly detection method