AlxndrMlk

Causality || Decision Making || Uncertainty

CausalPython.io | CausalBanditsPodcast.comIntl

Pinned Repositories

Barabasi-Albert_Network
Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
Language:Jupyter Notebook52 2 417
blogs-code
Code for blog posts.
Language:Jupyter Notebook17 1 13
causality
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
Language:Jupyter Notebook128 7 031
causalpython
Repository with resources for Causal Python
Language:Jupyter Notebook7 1 02
huber-causal-analysis
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
Language:Jupyter Notebook11 4 00
probabilistic-ml
Language:Jupyter Notebook7 2 02
PyDataGlobal2021
Language:Jupyter Notebook12 3 03
stochasticZipf
A Python 3 replication of Zipf's Law slope generated using stochastic process
Language:Jupyter Notebook5 1 02
talks-and-workshops
Materials for conference talks and workshops
Language:Jupyter Notebook29 3 012
Timeseries
Timeseries stuff
Language:Jupyter Notebook7 3 02

AlxndrMlk's Repositories

AlxndrMlk/causality
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
Language:Jupyter Notebook128 7 031
AlxndrMlk/Barabasi-Albert_Network
Barabási–Albert Network. A Step-by-Step Model with Visualizations created in Python 3.
Language:Jupyter Notebook52 2 417
AlxndrMlk/talks-and-workshops
Materials for conference talks and workshops
Language:Jupyter Notebook29 3 012
AlxndrMlk/blogs-code
Code for blog posts.
Language:Jupyter Notebook17 1 13
AlxndrMlk/PyDataGlobal2021
Language:Jupyter Notebook12 3 03
AlxndrMlk/huber-causal-analysis
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
Language:Jupyter Notebook11 4 00
AlxndrMlk/causalpython
Repository with resources for Causal Python
Language:Jupyter Notebook7 1 02
AlxndrMlk/probabilistic-ml
Language:Jupyter Notebook7 2 02
AlxndrMlk/alxndrmlk.github.io
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AlxndrMlk/bayesian-stuff
Various stuff related to Bayesian statistics and inference.
Language:Jupyter Notebook1 2 01
AlxndrMlk/causal-bandits-podcast
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AlxndrMlk/CausalSecretsNano
Repository containing the code for the online course Causal Secrets Nano
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AlxndrMlk/graph-neural-networks
Notes, code and experiemnts with graph neural networks (GNNs)
1 2 01
AlxndrMlk/nlp-concepts
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AlxndrMlk/probabilistic-dl-wrkshp-2021
Language:Jupyter Notebook1 2 03
AlxndrMlk/cidp-2nd-ed-working
CI&DP 2ed Working Repo
AlxndrMlk/cmc-learner
Implementation of Conformal Monte Carlo (CMC) learner
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AlxndrMlk/complexity
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AlxndrMlk/dowhy
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.
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AlxndrMlk/GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
Language:Python0 0
AlxndrMlk/math
Notes on math
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AlxndrMlk/ml-ops
Notes, templates on ML Ops
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AlxndrMlk/ML_Concepts
💡 This repo contains notebooks and materials related to various machine learning and information theory concepts.
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AlxndrMlk/nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
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AlxndrMlk/Optimization
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AlxndrMlk/python-utils
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AlxndrMlk/statistics
Statistical concepts and implementations
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AlxndrMlk/stoppushbacks
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AlxndrMlk/TensorCell
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AlxndrMlk/trustworthyAI
trustworthy AI related projects
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