adam2392
Postdoctoral Research Fellow at Columbia University in the Causal AI Lab. PhD in BME and MS in Applied Math&Stats from Johns Hopkins U. @scikit-learn core-dev.
Columbia UniversityUnited States
Pinned Repositories
causal-networkx
A lightweight graph class library relevant for causal inference.
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.
ieee_micromouse
Code for micromouse ieee competition 2015. Using PID, flood fill algorithm and programming in C.
mne-icalabel
Automatic labeling of ICA components in Python.
mne-connectivity
Connectivity algorithms that leverage the MNE-Python API.
mne-icalabel
Automatic labeling of ICA components in Python.
treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
dodiscover
[Experimental] Global causal discovery algorithms
pywhy-graphs
[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
scikit-learn
scikit-learn: machine learning in Python
adam2392's Repositories
adam2392/causal-networkx
A lightweight graph class library relevant for causal inference.
adam2392/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.
adam2392/mne-icalabel
Automatic labeling of ICA components in Python.
adam2392/adam2392
adam2392/dodiscover
Global causal discovery algorithms
adam2392/adam2392.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
adam2392/adam2392.github.io.old
adam2392/asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
adam2392/causal-component-analysis
adam2392/eegdatastorage
A repository for eeg data and its metadata storage.
adam2392/lpython
Python compiler
adam2392/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
adam2392/md-fci
Experiments for MD-FCI
adam2392/MLfromscratch
Machine Learning algorithm implementations from scratch.
adam2392/mlprep
Implementation prep for ml interviews
adam2392/mne-connectivity
Connectivity algorithms that leverage the mne-python API.
adam2392/mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
adam2392/ncm
Neural causal models in PyTorch.
adam2392/networkx
Network Analysis in Python
adam2392/normalizing-flows
PyTorch implementation of normalizing flow models
adam2392/openneuro-py
A client for accessing OpenNeuro datasets, written in Python.
adam2392/Personal-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
adam2392/playground-treeple
adam2392/pywhy-graphs
Implementations of different causal graphs.
adam2392/pywhy-stats
adam2392/scikit-learn
scikit-learn: machine learning in Python
adam2392/sempler
Framework to generate observational and interventional samples from structural equation models (SEMs)
adam2392/spin
Developer tool for scientific Python libraries
adam2392/treeple
Scikit-learn compatible decision trees beyond those offered in scikit-learn
adam2392/xsparse
XSparse is an experimental XTensor-like C++ sparse-array library.