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mraugment

MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

multimodal-svae

Multimodal Supervised Variational Autoencoder

multimodalqa

multimodel-inference

Multimodel selection using Bayesian and information-theoretical approach

munit

Multimodal Unsupervised Image-to-Image Translation

nab

The Numenta Anomaly Benchmark

nac

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

nanoflow

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."

nashae-beamsynthesis

Published code for the ECCV '22 paper NashAE: Disentangling Representations through Adversarial Covariance Minimization and data for the Beamsynthesis disentanglement dataset

natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

near

nes

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

neumann_networks_code

Neumann Networks for Inverse Problems in Imaging

neural-function-distributions

Pytorch implementation of Generative Models as Distributions of Functions 🌿

neutral-ad

Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021

nflows

Normalizing flows in PyTorch

nfs_code

NFs implementations

ngboost

Natural Gradient Boosting for Probabilistic Prediction

nlp-beginner

NLP上手教程

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nomu

NOMU: Neural Optimization-based Model Uncertainty

normalizing-flow-code

tutorial code of normalizing flow and invertible neural networks

normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

normalizingflownetwork

Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN)

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book