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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Code to run submissions for the Atlantic Causal Inference Competition
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgkanis
An annotated implementation of the Transformer paper.
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Bayesian Data Analysis course at Aalto
Bayesian Data Analysis demos for Python
Bayesian Data Analysis demos for R
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
Curated research at the intersection of causal inference and natural language processing.
A reading list for papers on causality for natural language processing (NLP)
This repository consolidates my teaching material for "Causal Machine Learning".
Working repository for Causal Tree and extensions
A repository of 60 useful data science prompts for ChatGPT
Machine Learning algorithms coded from scratch
11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials
A technical report on convolution arithmetic in the context of deep learning
:books: C++ Primer 5 exercise answers.
High-dimensional regression adjustments in randomized experiments
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
List of Deep Learning Cloud Providers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.