|almost 3 years ago||about 1 year ago|
|Jupyter Notebook||Jupyter Notebook|
|Apache License 2.0||MIT License|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
We haven't tracked posts mentioning rmi yet.
Tracking mentions began in Dec 2020.
Bayesian linear regression in (plain) Python
2 projects | /r/Python | 29 Jan 2021
A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.2 projects | /r/Python | 29 Jan 2021
What are some alternatives?
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100-Days-Of-ML-Code - 100 Days of ML Coding
google-research - Google Research
fastai - The fastai deep learning library
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
mango - Parallel Hyperparameter Tuning in Python
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
RadixSpline - A Single-Pass Learned Index
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1: