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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kattis-codechef-spoj-codef-w

COMP CODING

language-models-are-knowledge-graphs-pytorch

Language models are open knowledge graphs ( non official implementation )

lecture0

leetcode_category

Leetcode solutions organized by the problem categories

localstack

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!

low-level-design-primer

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-flashcards

Machine learning flashcards

manim-cp

mastering-ml-algorithms

Mastering ML Algorithms by Giuseppe Bonaccorso

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

mit-aiti

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

ml-interview-prep

Machine Learning & Deep Learning Breadth and Depth Interviews Preparation 2021

ml_prep

Machine Learning interview prep guide

mlmax

Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.

mlops-zoomcamp

Free MLOps course from DataTalks.Club

nand2tetris

All projects for Nand2Teris

node2vec

practical-deep-learning-for-coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

practical-python

Practical Python Programming (course by @dabeaz)

prateekchandrajha.github.io

Gitting Adding Committing Pushing Over Here

pycaret-deployment-aws

Deploy Machine Learning Pipeline on AWS Fargate

random-computational-finance

Random Numbers, Monte Carlo, Fourier & Computational Finance

recommendations-for-engineers

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

reinforce-sutton

Reinforcement Learning Implementations from Sutton & Martha White's Coursera Course