Pinned Repositories
advanced-chemical-reaction-engineering
advanced-python
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
automateTheBoringStuff
multi-class-text-classification
In this project I performed multi-class text classification to classify titles to matching conference names by using several modules in scikit-learn
nytimes-books
A Data Engineering Project
PyTorch-Tutorials
Learning PyTorch for my master-thesis
Spectrangle
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
write-to-learn
They say the best way of learning is by explaining concepts in your own way. This repo is my attempt at doing that for several topics I come across.
natitaw's Repositories
natitaw/advanced-chemical-reaction-engineering
natitaw/write-to-learn
They say the best way of learning is by explaining concepts in your own way. This repo is my attempt at doing that for several topics I come across.
natitaw/automateTheBoringStuff
natitaw/PyTorch-Tutorials
Learning PyTorch for my master-thesis
natitaw/advanced-python
natitaw/multi-class-text-classification
In this project I performed multi-class text classification to classify titles to matching conference names by using several modules in scikit-learn
natitaw/nytimes-books
A Data Engineering Project
natitaw/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
natitaw/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
natitaw/IOS-Development
Repo for learning swift as a hobby
natitaw/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
natitaw/ArtofStatistics
Code for 'The Art of Statistics'
natitaw/Complete-CheatSheets
This repo contains all the cheatsheets you need to keep handy, I will add more soon.
natitaw/deploy-flex-actions
Deploying flexdashboard on Github Pages with Docker and Github Actions
natitaw/machine-learning
Machine Learning Courses 2017/2018 - MSc Artificial Intelligence @ UvA
natitaw/ML-basics
natitaw/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
natitaw/my-books
Repo to analyse my reading habits
natitaw/my-notes
natitaw/nate-cv
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
natitaw/natitaw.github.io
natitaw/peakonly
natitaw/Python
All Algorithms implemented in Python
natitaw/python-knowledge-repo
This repository contains my reference material that I use in order to improve my code on a day to day basis
natitaw/quartz
🌱 host your own second brain and digital garden for free
natitaw/redis-openai-qna
A containerized Question & Answer demo with OpenAI, Streamlit, and Redis as a vector database.
natitaw/Statistics-for-Data-Science-and-Business-Analytics
A repo to help me brush up on my stat skills before I join my new work
natitaw/uselectricity-etl
Example for ETL process with R, Docker, and Github Actions.
natitaw/UvA_Summaries
Summaries of courses in the AI Master programme at UvA
natitaw/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"