Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

xinntao/Real-ESRGAN 22 Jul 2021

Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.

Video Super-Resolution

1.07 stars / hour

Probabilistic Forecasting with Temporal Convolutional Neural Network

unit8co/darts 11 Jun 2019

We present a probabilistic forecasting framework based on convolutional neural network for multiple related time series forecasting.

Representation Learning Time Series +1

0.96 stars / hour

Physics-based Deep Learning

tum-pbs/pbdl-book 11 Sep 2021

This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations.

Physical Simulations

0.87 stars / hour

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

princeton-vl/raft-stereo 15 Sep 2021

We introduce RAFT-Stereo, a new deep architecture for rectified stereo based on the optical flow network RAFT.

Optical Flow Estimation Stereo Matching

0.84 stars / hour

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

microsoft/qlib 24 Jun 2021

In this paper, we propose a novel architecture, Temporal Routing Adaptor (TRA), to empower existing stock prediction models with the ability to model multiple stock trading patterns.

Stock Prediction

0.77 stars / hour

TabNet: Attentive Interpretable Tabular Learning

microsoft/qlib 20 Aug 2019

We propose a novel high-performance and interpretable canonical deep tabular data learning architecture, TabNet.

Decision Making Feature Selection +3

0.75 stars / hour

Image Shape Manipulation from a Single Augmented Training Sample

eliahuhorwitz/DeepSIM 13 Sep 2021

In this paper, we present DeepSIM, a generative model for conditional image manipulation based on a single image.

Image Manipulation

0.67 stars / hour

Resolution-robust Large Mask Inpainting with Fourier Convolutions

saic-mdal/lama 15 Sep 2021

We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss function.

Image Inpainting

0.41 stars / hour

Benchmarking the Spectrum of Agent Capabilities

danijar/crafter 14 Sep 2021

We hope that Crafter will accelerate research progress by quickly evaluating a wide spectrum of abilities.

0.43 stars / hour