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Afshin Karimi's Projects

chat-bot-using-streamlit-and-openai icon 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.

dqn icon dqn

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

financial-risk-assessment-using-lightgbm icon 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.

fine-tuning-an-llm-using-lora icon 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.

gan-digits icon gan-digits

Implement GAN and DCGAN (Deep Learning Course Project)

image2audiostoryconverter icon 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.

localgpt icon localgpt

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

lstm-gru icon lstm-gru

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

mlp_mnist icon mlp_mnist

Implement MultiLayer Perceptron (MLP) on MNIST dataset

react-framework-implementation icon 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.

similar-paper-reccomendation icon 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 icon 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.

u-net icon u-net

Implement U-Net on CT dataset

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