Teoman Selcuk 's Projects
The objective of this project is to see how well chatGPT can answer various math questions that are simplistic and cognitively demanding
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
This project provides a Python script that allows you to download YouTube videos in 1080p quality along with their subtitles using the yt-dlp library. The script can be run in either interactive mode, where users can input YouTube URLs one by one, or script mode, which uses a predefined list of URLs.
LangChain Workflows is a Python-based project that leverages advanced language models to generate concise workflow prompts from input text. It provides a streamlined process from reading and processing input to generating and saving workflow prompts, making it a powerful tool for text analysis and information extraction.
Docker environment sets up an Ubuntu-based container with a non-root user, installs the required packages, configures sudo, clones your Emacs configuration, installs Roswell, and sets up environment variables.
python code that turns notes and highlights into new reformatted md files.
This setup enables you to experiment with stochastic processes and probability concepts using Jupyter Notebook in a containerized environment, making it easy to manage and share your work.
This project aims to analyze and visualize the performance of a stock portfolio alongside market indices such as the S&P 500 and TSX300. It utilizes various Python libraries including pandas, numpy, plotly, and scikit-learn for data manipulation, visualization, and predictive modeling.
convert PowerPoint files to RTS files
A Python project for interacting with Replicate's API to run custom models. This project supports both interactive and script modes for inputting prompts. It is set up with a Conda environment and uses Poetry for dependency management.
This project utilizes Multiple Linear Regression (MLR) to predict house prices in King County, Washington, USA, using historical sales data. The dataset includes various features such as the number of bedrooms, square footage, views, and grades, with the goal of accurately predicting house prices.
Testing roulette simulations to find the most profitable strategy
Set up Stacher on Windows to download the highest quality video and audio from YouTube and automatically merge them into a single MP4 file using FFmpeg and a custom batch script.
Analyzing, and developing trading strategies based on stock options data. It leverages powerful tools and libraries such as Jupyter Notebook, PostgreSQL, NumPy, Pandas, and Plotly to provide a robust platform for traders and analysts.
Run Lubuntu and Ubuntu on Docker.