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

2,667
1.02 stars / hour

Physics-based Deep Learning

thunil/Physics-Based-Deep-Learning 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

886
0.98 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

2,768
0.91 stars / hour

Evaluating Large Language Models Trained on Code

microsoft/PythonProgrammingPuzzles 7 Jul 2021

We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities.

Code Generation Language Modelling

468
0.89 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

46
0.73 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

225
0.66 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

6,439
0.60 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

6,437
0.55 stars / hour

Robust High-Resolution Video Matting with Temporal Guidance

PeterL1n/RobustVideoMatting 25 Aug 2021

We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance.

Video Matting

859
0.48 stars / hour