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r-net

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

reading-comprehension-without-rnns

A Tensorflow implementation of Fast and Accurate Reading Comprehension without Recurrent Neural Networks

robustness

Corruption and Perturbation Robustness (ICLR 2019)

robustness_metrics

s-net

singlemodeluncertainty

Learning error bars for neural network predictions

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

t-sne

temperature_scaling

A simple way to calibrate your neural network.

testfile

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

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.

tunsafe

Source code of the TunSafe client

uda

Unsupervised Data Augmentation (UDA)

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

vscode

warplda

Cache efficient implementation for Latent Dirichlet Allocation

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow