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

156
1.19 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

6,372
0.93 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

6,362
0.92 stars / hour

nnFormer: Interleaved Transformer for Volumetric Segmentation

282857341/nnformer 7 Sep 2021

Compared to the naive voxel-level self-attention implementation, such volume-based operations help to reduce the computational complexity by approximate 98% and 99. 5% on Synapse and ACDC datasets, respectively.

Medical Image Segmentation

363
0.89 stars / hour

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

2,455
0.87 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

2,721
0.86 stars / hour

LibFewShot: A Comprehensive Library for Few-shot Learning

rl-vig/libfewshot 10 Sep 2021

Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmark datasets with multiple backbone architectures to evaluate common pitfalls and effects of different training tricks.

Data Augmentation Few-Shot Image Classification +1

38
0.63 stars / hour

BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding

csebuetnlp/banglabert 1 Jan 2021

As a bi-product of the standard NLU benchmarks, we introduce a new downstream dataset on natural language inference (NLI) and show that BanglaBERT outperforms previous state-of-the-art results on all tasks by up to 3. 5%.

Document Classification Language Modelling +3

87
0.60 stars / hour
146
0.47 stars / hour