ksek87's Stars
EbookFoundation/free-programming-books
:books: Freely available programming books
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
eriklindernoren/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.
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
spotDL/spotify-downloader
Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
argoproj/argo-workflows
Workflow Engine for Kubernetes
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pytest-dev/pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
great-expectations/great_expectations
Always know what to expect from your data.
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
alexeygrigorev/data-science-interviews
Data science interview questions and answers
joshpxyne/gpt-migrate
Easily migrate your codebase from one framework or language to another.
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
kelvins/awesome-mlops
:sunglasses: A curated list of awesome MLOps tools
antonkomarev/github-profile-views-counter
It counts how many times your GitHub profile has been viewed. Free cloud micro-service.
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
luspr/awesome-ml-courses
Awesome free machine learning and AI courses with video lectures.
jayinai/data-science-question-answer
A repo for data science related questions and answers
chris-chris/ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
goodfeli/dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
jayinai/ml-interview
Preparing for machine learning interviews
eriklindernoren/NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.