Stars
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Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Python package for causal discovery based on LiNGAM.
Scalable Multi-Agent RL Training School for Autonomous Driving
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Repository for "Differentiable Causal Discovery from Interventional Data"
Reimplementation of NOTEARS in Tensorflow
Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
TIme series DiscoverY BENCHmark (tidybench)
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.