Vision Transformer for Fast and Efficient Scene Text Recognition

Github: https://github.com/roatienza/deep-text-recognition-benchmark

Paper: https://arxiv.org/abs/2105.08582

👉 @bigdata_1

Nowcasting the Next Hour of Rain

Github: https://github.com/deepmind/deepmind-research/tree/master/nowcasting

Paper: https://www.nature.com/articles/s41586-021-03854-z

Deepmind blog: https://deepmind.com/blog/article/nowcasting

👉 @bigdata_1

OpenNRE

Reviewing Test Protocols of Distantly Supervised Relation Extraction

Github: https://github.com/thunlp/OpenNRE

Paper: https://arxiv.org/abs/2105.09543v1

👉 @bigdata_1

MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning

Github: https://github.com/facebookresearch/minihack

Facebook AI: https://ai.facebook.com/blog/minihack-a-new-sandbox-for-open-ended-reinforcement-learning/

Paper: https://arxiv.org/abs/2109.13202

Documentation: https://minihack.readthedocs.io/

👉 @bigdata_1

Awesome list of datasets in 100+ categories
44 zettabytes of data

https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

👉 @bigdata_1

TSM: Temporal Shift Module for Efficient Video Understanding

Github: https://github.com/princeton-nlp/made

Website: https://hanlab.mit.edu/projects/tsm/

Paper: https://arxiv.org/abs/1811.08383

Dataset: https://paperswithcode.com/dataset/squad

👉 @bigdata_1

High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

Github: https://github.com/csjliang/LPTN

Paper: https://arxiv.org/abs/2105.09188v1

👉 @bigdata_1

Fast bottom-up method that jointly detects over 100 keypoints on humans or objects

Github: https://github.com/duncanzauss/keypoint_communities

Paper: https://arxiv.org/abs/2110.00988v1

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1

A Python Package for Bayesian Time Series Forecasting and Inference

https://morioh.com/p/24731abbc7f0

Github: https://github.com/uber/orbit

Docs: https://orbit-ml.readthedocs.io/en/stable/

👉 @bigdata_1

FLAN: More generalizable Language Models with Instruction Fine-Tuning

Google research: https://ai.googleblog.com/2021/10/introducing-flan-more-generalizable.html

Github: https://github.com/google-research/FLAN

Paper: https://arxiv.org/abs/2109.01652


👉 @bigdata_1

Unsupervised Scale-consistent Depth Learning from Video

Github: https://github.com/csjliang/LPTN

Paper: https://arxiv.org/abs/2105.11610v1

Project: https://jwbian.net/sc-sfmlearner/

👉 @bigdata_1

🎯 Darts: User-Friendly Modern Machine Learning for Time Series

Github: https://github.com/unit8co/darts

Paper: https://arxiv.org/abs/2110.03224v1

Examples: https://unit8co.github.io/darts/examples.html

👉 @bigdata_1

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks

Github: https://github.com/antonio-mastropaolo/T5-learning-ICSE_2021

Paper: https://arxiv.org/pdf/2102.02017.pdf

👉 @bigdata_1

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

Github: https://github.com/slundberg/shap

Paper: https://arxiv.org/abs/2110.03309v1

👉 @bigdata_1

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Github: https://github.com/wtjiang98/PSGANhttps://github.com/wtjiang98/PSGAN

Paper: https://arxiv.org/abs/2105.12324v1

Dataset: https://buaaeducn-my.sharepoint.com/:u:/g/personal/jiangwentao_buaa_edu_cn/EcRNkF2bFY9AomfMfyd_B2ABUyZ7PtSeYoqFJKJbVvwMHg?e=PScTNw

👉 @bigdata_1

Learning High-Speed Flight in the Wild

Github: https://github.com/uzh-rpg/agile_autonomy

Project: http://rpg.ifi.uzh.ch/AgileAutonomy.html

Paper: http://rpg.ifi.uzh.ch/docs/Loquercio21_Science.pdf

Dataset: https://zenodo.org/record/5517791#.YV2zkGNfhhE

👉 @bigdata_1

The pytorch re-implement of the official EfficientDet with SOTA performance in real time

Github: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch

Paper: https://arxiv.org/abs/2105.12971v1

Tutorials: https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch/blob/master/tutorial

👉 @bigdata_1

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Github: https://github.com/ifzhang/ByteTrack

Paper: https://arxiv.org/abs/2110.06864

Dataset: https://paperswithcode.com/dataset/motchallenge

👉 @bigdata_1

AndroidEnv - The Android Learning Environment

Github: https://github.com/deepmind/android_env

Paper: https://arxiv.org/abs/2105.13231v1

👉 @bigdata_1

Ten Quick Tips for Deep Learning in Biology

Github: https://github.com/Benjamin-Lee/deep-rules

Paper: https://arxiv.org/abs/2105.14372v1

👉 @bigdata_1

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

Github: https://github.com/jbeomlee93/rib

Paper: http://arxiv.org/abs/2110.06530

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1