fshnkarimi

Fine-tuning-an-LLM-using-LoRA

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

LungTumor-Segmentation

Automatically segment lung cancer in CTs

3D-Liver-Segmentation

Automatically segment the liver and liver tumors in CT scans with 3D-UNET

Chat-Bot-using-Streamlit-and-OpenAI

This repository hosts a user-friendly chatbot application, powered by the GPT-3.5 model and built with the Streamlit framework. Engage in dynamic conversations, ask questions, and enjoy interactive responses with ease. Customize and extend its capabilities to suit your specific requirements.

Image2AudioStoryConverter

Convert images into captivating audio stories using image-to-text, language models, and text-to-speech technologies. Upload images, generate stories, and listen to the narrated audio clips. A fun project combining AI and creativity.

Atrium-Segmentation

Automatically segment the left Atrium in cardiac images

Cardiac-Detection

Predict a bounding box around the heart in X-ray images.

FaceEmotionRecognition

Build a Face Emotion Recognition (FER) Algorithm

Pneumonia-Classification

Identify size of pneumonia in X-Ray images

Machine-Learning-App-Deployment-on-Amazon-EKS-with-MLOps-Practices

This repository demonstrates the deployment of a machine learning app on Amazon EKS using Docker and Kubernetes, with the incorporation of MLOps practices such as version control, CI/CD, and infrastructure as code.

Similar-Paper-Reccomendation

This repository contains an application designed to recommend scientific papers that are most similar to a given input paragraph. The application uses the llama and weaviate libraries to achieve this.

train_scheduling_assistant

This project utilizes a fine-tuned Large Language Model (LLM) to generate train scheduling information from unstructured textual data, providing an interactive UI via Streamlit.

ReAct-Framework-Implementation

This repository implements the "ReAct" framework, combining OpenAI's GPT-3.5 Turbo model and LangChain for dynamic reasoning and interaction with external data sources.

DQN

Implement a Deep Q-Network (DQN) model with Experience Replay and Target Network technics with Pytorch

GAN-digits

Implement GAN and DCGAN (Deep Learning Course Project)

ai-comedy-club

Financial-Risk-Assessment-using-LightGBM

This project is a demonstration of a Financial Risk Assessment application that predicts risk tolerance based on user-provided financial data. It combines machine learning models (Logistic Regression and LightGBM), FastAPI for the backend, and Streamlit for the frontend to create an interactive web application.

Heart-disease-prediction-using-SVM

In this project, Support Vector Machines (SVM) algorithm implemented that determines which patient is in danger and which is not.

Keypoint-Description-and-Matching

Advance computer vision course project (Fall 2020)

Labeling

localGPT

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

LSTM-GRU

Time series prediction with LSTM and GRU models. (Deep Learning course project)

matching-Algorithms

Advance computer vision course project (Fall 2020)

MLP_MNIST

Implement MultiLayer Perceptron (MLP) on MNIST dataset

Predict_house_prices_KR

Predict house prices with kernel regression

ResNet_Pytorch

Implement ResNet architecture and test on CIFAR10 dataset

Sentiment-Analysis

Machine Learning Course Final Project (Sharif University of Technology)

U-Net

Implement U-Net on CT dataset

VAE-MNIST

A variational autoencoders (VAE) applied to the MNIST dataset. (Deep Learning Course Project)

XGboost-on-Iris

Clustering on Iris dataset using XGBoost and Gradient Boost