oskar75 Goto Github PK
Type: User
Type: User
APES - Advice for Problems in Environmental Statistics
Bayesian Data Analysis course at Aalto
I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.
One day course on causal inference, MPI-EVA 9 September 2021
Causing: CAUsal INterpretation using Graphs
Project code for cd0025 Supervised Learning
All that has to do with lists in the CPP course
Simpsons-Paradox_towardsdatascience-Koehrsen
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep Learning without Weight Transport
legend
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Contains files related to content and project of DSND
The fastai book, published as Jupyter Notebooks
Jupyter notebook and datasets from the pandas Q&A video series
Final project for CS269Q at Stanford. Classical + Quantum hybrid image classifier
Statistical Rethinking course and book package
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
test No1
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.