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University of Oxford
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WeightIt: an R package for propensity score weighting
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
High-quality implementations of standard and SOTA methods on a variety of tasks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Lightweight, useful implementation of conformal prediction on real data.
A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
Machine Learning and Artificial Intelligence for Medicine.
Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.
Introduction to Unit Testing with Python and GitHub
A General Causal Inference Framework by Encoding Generative Modeling
Code to run submissions for the Atlantic Causal Inference Competition
OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
Questions to ask the company during your interview
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
TensorFlow code and pre-trained models for BERT
Open source aggregation pipeline for public COVID-19 data, including hospitalization/ICU/ventilator numbers for many countries.
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
A repository of data on coronavirus cases and deaths in the U.S.
CNN-RNN中文文本分类,基于TensorFlow
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc