invariant-risk-minimization

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, ...

Adabelief-Optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in ...

keras_ensemble_cifar10

3.47% on CIFAR-10

Adaptive-Gradient-Clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in Tensor...

instance-aware-colorization-TF

Reproduction of instance-aware image colorization in TensorFlow.

optimistic_GAN_training

minibatch_Wasserstein

Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".

stanford-cars

Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset

fundamentals-of-deep-learning

Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

unbiased_minibatch_sinkhorn_GAN

Official repository of "Minibatch optimal transport distances; analysis and applications" (https:...