tazbiulhassan Goto Github PK

academic-cv

Academic CVs (One page/Multiple pages) for Postdoctoral Applications

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

aicp

Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", by Juan L Gamella and Christina Heinze-Deml.

algos

Building ML Algorithms ground-up

awesome-causal-inference

A curated list of awesome work on causal inference, particularly in machine learning.

awesome-causality

Resources related to causality

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-causal-learning

A curated list of awesome deep causal learning methods since 2018

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

awesome-public-datasets

A topic-centric list of HQ open datasets.

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bigscity-libcity

LibCity: An Open Library for Urban Spatio-temporal Data Mining

capmarket

causal-experiments

Messing with causality.

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal-ml_papers

Must-read papers and resources related to causal inference and machine (deep) learning

causal-variational-autoencoders

Causal Variational AutoEncoders

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causality

Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

causality-course-ethz

Code used in the causality course (401-4632-15) at ETH Zurich.

causality-lab

Causal discovery algorithms and tools for implementing new ones

causallib

A Python package for modular causal inference analysis and model evaluations

causalml

Uplift modeling and causal inference with machine learning algorithms

ciga

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

data_science_portfolio

deep-forecasting

Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-learning-tutorials

ML_tutorials