Peng Cui's repositories
18S096SciML
18.S096 - Applications of Scientific Machine Learning
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
dul-pytorch
[2020-CVPR]Data Uncertainty Learning in Face Recognition
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
GPflow
Gaussian processes in TensorFlow
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch-mdn
Mixture Density Networks for PyTorch
robustness
Corruption and Perturbation Robustness (ICLR 2019)
SingleModelUncertainty
Learning error bars for neural network predictions
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch