Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
autograd
Efficiently computes derivatives of numpy code.
awesome-behavioral-interviews
This repository contains tips and resources to prepare for behavioral interviews.
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
aws-certified-cloud-practitioner-certification-my-notes
AWS Certified Cloud Practitioner Certification Study Guide
bpm
A simple Python-based open source software library for the numerical simulation of the linear or nonlinear time-dependent Schrödinger equation in one and two dimensions.
llm-workshop
YoloDataLabeler
This is a data labeling app for who don't want to share datasets with third party corporations.
rfatihors's Repositories
rfatihors/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
rfatihors/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
rfatihors/autograd
Efficiently computes derivatives of numpy code.
rfatihors/awesome-behavioral-interviews
This repository contains tips and resources to prepare for behavioral interviews.
rfatihors/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
rfatihors/aws-certified-cloud-practitioner-certification-my-notes
AWS Certified Cloud Practitioner Certification Study Guide
rfatihors/llm-workshop
rfatihors/YoloDataLabeler
This is a data labeling app for who don't want to share datasets with third party corporations.
rfatihors/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
rfatihors/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
rfatihors/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
rfatihors/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
rfatihors/Developing-Kaggle-Notebooks
rfatihors/dockerlabs
Docker - Beginners | Intermediate | Advanced
rfatihors/ivy
The Unified AI Framework
rfatihors/jacobi
Numerical derivatives for Python
rfatihors/jupyter-ai
A generative AI extension for JupyterLab
rfatihors/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
rfatihors/learnopencv
Learn OpenCV : C++ and Python Examples
rfatihors/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
rfatihors/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
rfatihors/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
rfatihors/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
rfatihors/numerical-veliz
Numerical Analysis code from the Oscar Veliz YouTube Channel
rfatihors/numerical_methods_youtube
rfatihors/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
rfatihors/supervision
We write your reusable computer vision tools. 💜
rfatihors/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
rfatihors/tspdlib
GAUSS time series and panel unit root tests compiled by Saban Nazlioglu
rfatihors/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.