Mert Akyuz's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
supervision
We write your reusable computer vision tools. 💜
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
langchain-nextjs-template
LangChain + Next.js starter template
nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
DataScienceInteractivePython
Python interactive dashboards for learning data science
turkce-python-kaynaklari
Türkçe olarak hazırlanmış Python programlama dili ile ilgili içeriklerin derlendiği sayfa.
GeostatsPy
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
Machine-Learning
Implementation of different ML Algorithms from scratch, written in Python 3.x
stata-schemepack
Here you will find various ready-to-use Stata schemes.
Streamlit-Dashboard-Descriptive-Analytics-with-MYSQL
Streamlit Dashboard Descriptive Analytics with MYSQL
kdd2021-tutorial
EconML/CausalML KDD 2021 Tutorial
kdd2023-workshop
KDD 2023 Workshop - Causal Inference and Machine Learning in Practice: Use cases for Product, Brand, Policy and Beyond
apec_math_review_2023
Applied Economics Math Review Course 2023, University of Minnesota
kdd2024-workshop
KDD 2024 2nd Workshop on Causal Inference and Machine Learning in Practice
Applied-Biostatistics-and-Data-Analysis
My homework solutions (in R Markdown) of the Ph.D. level statistics course - STAT 645 in Texas A&M University
ECON611-MCWAYRM
Student Repo for Computational Economics