dbikiel's Stars
rmcelreath/causal_salad_2021
One day course on causal inference, MPI-EVA 9 September 2021
borisdayma/dalle-mini
DALL·E Mini - Generate images from a text prompt
CamDavidsonPilon/lifelines
Survival analysis in Python
fdavidcl/ae-review-resources
Additional resources for an overview on autoencoders
springer-math/dynamical-systems-with-applications-using-python
Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch
stur86/tvregdiff
Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
mattja/sdeint
Numerical integration of Ito or Stratonovich SDEs
amueller/COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
NicoHood/HoodLoader2
16u2 Bootloader to reprogram 16u2 + 328/2560 with Arduino IDE
gmaclenn/ml-flashcards-python
Python script to pull machine learning flashcards from Chris Albon's twitter feed
HaminKo/SQLZoo-Solutions
My answers to the assessments available on http://sqlzoo.net/
eric-epstein-5747/data-science-interviews
Data science interview questions and answers
lmmentel/awesome-python-chemistry
A curated list of Python packages related to chemistry
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
boada/data-science-interviews
Data science interview questions and answers
datasciencemasters/go
The Open Source Data Science Masters
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
dbikiel/Insight
Insight Data Science New York 2020A Personal Project
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
plotti/timeseries_demo
A short introduction to time series methods
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Allen-Tildesley/examples
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, or follow the "Releases" link below.
aqicn/dylos
Scripts for the dylos reader experimentation
DataScienceSpecialization/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io