Pinned Repositories
algorithms_toolbox
AmortizedCausalDiscovery
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
autoencoder_classifier
Autoencoder model for rare event classification
autoencoders
cfqp
Deep Counterfactual Prediction with Categorical Backward Variables
learn-pymc
Repository of code to aid the learning of Probabilistic Programming with PyMC
RFLDA
Original data and code of RFLDA algorithm
scala-ml-algorithms
SVDNVLDA
seyedrezamirkhani's Repositories
seyedrezamirkhani/AmortizedCausalDiscovery
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
seyedrezamirkhani/bayesian_statistics_the_fun_way
Code examples from the book Bayesian Statistics the fun way in Python
seyedrezamirkhani/C-TF-Three
C-TF-Three
seyedrezamirkhani/cfqp
Deep Counterfactual Prediction with Categorical Backward Variables
seyedrezamirkhani/learn-pymc
Repository of code to aid the learning of Probabilistic Programming with PyMC
seyedrezamirkhani/RFLDA
Original data and code of RFLDA algorithm
seyedrezamirkhani/scala-ml-algorithms
seyedrezamirkhani/BindSiteS-CNN
This is a repository for BindSiteS-CNN under preparation. Not yet completed.
seyedrezamirkhani/C-TF-Two
C-TF-Two
seyedrezamirkhani/causal-metarl
WIP implementation of https://arxiv.org/pdf/1901.08162.pdf
seyedrezamirkhani/causal-pc
seyedrezamirkhani/causal-terms
Description of terms used in causality
seyedrezamirkhani/CausalTransformer
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
seyedrezamirkhani/cellx-predict
Explainable AI model of cell behavior
seyedrezamirkhani/check-pdf-hyperlinks
Shows hyperlinks in a given pdf file
seyedrezamirkhani/events2sessions
Splitting log data into sessions using SparkSQL
seyedrezamirkhani/GRAPL
GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
seyedrezamirkhani/learn_causal_learn
Joint Research Project of Théotime Le Goff & Seyed Reza Mirkhani
seyedrezamirkhani/MiniALBERT
This repository contains the code used for training/fine-tuning the models introduced in the paper "MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers".
seyedrezamirkhani/parallel-python
Tests with different solutions to parallelization of Python code
seyedrezamirkhani/pbn-inference
A package with methods for Probabilistic Boolean Network inference.
seyedrezamirkhani/Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
seyedrezamirkhani/py-books
A collection of Python books 📖
seyedrezamirkhani/pymc
Bayesian Modeling and Probabilistic Programming in Python
seyedrezamirkhani/python-holidays
Generate and work with holidays in Python
seyedrezamirkhani/representation-causal-public
seyedrezamirkhani/Tractable-Neural-Causal-Model
Official code repository to the corresponding paper.
seyedrezamirkhani/typed-dag
Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.
seyedrezamirkhani/ubuntu-22.04-tf-gpu-install
Notes for installing tensorflow with gpu support on Ubuntu 22.04
seyedrezamirkhani/VGAELDA
VGAELDA: a representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations