The Data Engineering Cookbook

A Nice-looking CV template made into LaTeX

Build and share data reports in 100% Python

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

List of AI Residency Programs

Implementation of KDD21 paper Causal Understanding of Fake News Dissemination on Social Media

Notes and exercise solutions for second edition of Sutton & Barto's book

📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.

Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Tagger for explicit cause-and-effect relationships in text

How to include a google-scholar link in modern cv LaTex template.

Yet Another Neural Machine Translation Toolkit

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 graphic…

An index of algorithms for learning causality with data

A data index for learning causality.

State-of-the-Art Text Embeddings

Repository for COD3S: Diverse Generation with Discrete Semantic Signatures

Color schemes for default macOS Terminal.app

Code and data for paper 'Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings'

Materials for the StoryLine extraction task - annotated data, baselines and evaluation scripts, evaluation data.

Causal Relation Extraction and Identification using Conditional Random Fields

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Encoder-Agnostic Adaptation for Conditional Language Generation