Pinned Repositories
365-Day-Paper-Reading-Challenge
365-day challenge (26 Jun 2020 - 26 Jun 2021)
alfred-clean
Deletes screenshots from your Desktop.
algorithm-illustrations
The illustrations from the YouTube channel: happygirlzt.
algorithms
Minimal examples of data structures and algorithms in Python
algorithms-1
Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more.
Credit_Risk_Analysis
exploreBooks
juliasilge.github.io
My bloggy blog, based on the So Simple theme
prac
aknn's Repositories
aknn/365-Day-Paper-Reading-Challenge
365-day challenge (26 Jun 2020 - 26 Jun 2021)
aknn/algorithm-illustrations
The illustrations from the YouTube channel: happygirlzt.
aknn/algorithms-1
Classic algorithms including Fizz Buzz, Bubble Sort, the Fibonacci Sequence, a Sudoku solver, and more.
aknn/Credit_Risk_Analysis
aknn/prac
aknn/apebot
aknn/Data-science
Collection of useful data science topics along with code and articles
aknn/dataprep
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
aknn/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
aknn/dsp
The Demonstrate-Search-Predict Framework: Composing retrieval and language models for knowledge-intensive NLP
aknn/game-of-life
this is the code for a tutorial on youtube (https://youtu.be/6AAjjZ3qTIc )
aknn/GML2023
Graph Machine Learning course, Xavier Bresson, 2023
aknn/gpu-python-tutorial
GPU Development in Python 101 tutorial
aknn/kznllm.nvim
Nvim_variation1
aknn/labs
Rmd source files for the HarvardX series PH525x
aknn/lifelines
Survival analysis in Python
aknn/lifetimes
Lifetime value in Python
aknn/LinAlg4DataScience
Code that accompanies the book "Linear Algebra for Data Science"
aknn/numpy
The fundamental package for scientific computing with Python.
aknn/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
aknn/practical-statistics-for-data-scientists
Code repository for O'Reilly book
aknn/pycaret
An open-source, low-code machine learning library in Python
aknn/pysr_paper
A paper describing the implementation of PySR and SymbolicRegression.jl
aknn/python-snippets
simple example codes
aknn/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
aknn/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
aknn/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
aknn/skorecard
scikit-learn compatible tools for building credit risk acceptance models
aknn/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
aknn/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.