Myles Bartlett's repositories
causal_learning_unknown_interventions
Code for "Neural causal learning from unknown interventions"
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow
FACYnation
Forecasting Crop Yields on national scales (FACYnation)
fair-classification
Python code for training fair logistic regression classifiers.
hidden-stratification
Combating hidden stratification with GEORGE
joint-cluster-cnn
A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).
kornia
Open Source Differentiable Computer Vision Library
rlkit
Collection of reinforcement learning algorithms
san
Attention-based feature ranking for propositional data.
SIVI
An efficient and accurate method to bridge the gap in uncertainty quantification between variational inference and MCMC; Using neural network to capture latent variable dependencies. ICML 2018