Stars
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.
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.
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
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'
cltl / EventStoryLine
Forked from tommasoc80/EventStoryLineMaterials 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