🔗 A Unified Objective for Novel Class Discovery

Github: https://github.com/DonkeyShot21/UNO

Paper: https://arxiv.org/abs/2108.08536v2

Dataset: https://paperswithcode.com/dataset/cifar-100
👉 @bigdata_1

AutoGL: A Library for Automated Graph Learning

Github: https://github.com/THUMNLab/AutoGL

Paper: https://arxiv.org/abs/2104.04987v1
👉 @bigdata_1

🕸 Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

Github: https://github.com/VITA-Group/Deep_GCN_Benchmarking

Paper: https://arxiv.org/abs/2108.10521v1
👉 @bigdata_1

Compact Transformers

Github: https://github.com/SHI-Labs/Compact-Transformers

Paper: https://arxiv.org/abs/2104.05704

👉 @bigdata_1

💡Volunteer computing: статья про коллаборативное обучение нейросети

Если вы хотите создавать большие модели, не имея суперкомпьютер за спиной, то вам понадобится технология, способная разделить вычисления между теми, кто готов предоставить вам мощности. В этом поможет технология DeDLOC, разработанная в Yandex Research, Hugging Face и University of Toronto.

Хабр: https://habr.com/ru/company/yandex/blog/574466/
👉 @bigdata_1

Shape and Material Capture at Home, CVPR 2021

Github: https://github.com/dlichy/ShapeAndMaterial

Paper: https://arxiv.org/abs/2104.06397v1
👉 @bigdata_1

How To Code RNN And LSTM Neural Networks In Python

https://www.nbshare.io/notebook/249468051/How-To-Code-RNN-and-LSTM-Neural-Networks-in-Python/
👉 @bigdata_1

🧍 Fast and Flexible Human Pose Estimation with HyperPose

Github: https://github.com/tensorlayer/hyperpose

Paper: https://arxiv.org/abs/2108.11826v1

Docs: https://hyperpose.readthedocs.io/en/latest/markdown/quick_start/prediction.html#table-of-flags-for-hyperpose-cli
👉 @bigdata_1

💬 Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Github: https://github.com/ofirpress/attention_with_linear_biases

Paper: https://ofir.io/train_short_test_long.pdf

Fairseq: https://github.com/pytorch/fairseq
👉 @bigdata_1

Generating Cats with StyleGAN on AWS SageMaker

https://devopstar.com/2019/02/25/generating-cats-with-stylegan-on-aws-sagemaker

Code: https://github.com/t04glovern/stylegan
👉 @bigdata_1

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

Github: https://github.com/hanchaoleng/shapeconv

Paper: https://arxiv.org/abs/2108.10528v1
👉 @bigdata_1

AI predicts effective drug combinations to fight complex diseases faster

https://ai.facebook.com/blog/ai-predicts-effective-drug-combinations-to-fight-complex-diseases-faster/

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

Paper: https://www.biorxiv.org/content/10.1101/2021.04.14.439903v1
👉 @bigdata_1

📶 ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

Github: https://github.com/segmentationblwx/sssegmentation

Paper: https://arxiv.org/abs/2108.12382v1

Dataset: https://cs.stanford.edu/~roozbeh/pascal-context/
👉 @bigdata_1

Essential Math for Data Science: Linear Transformation with Matrices

https://hadrienj.github.io/posts/Essential-Math-for-Data-Science-linear_transformations/
👉 @bigdata_1

🔎 Efficient Person Search: An Anchor-Free Approach.

Github: https://github.com/daodaofr/AlignPS

Paper: https://arxiv.org/abs/2109.00211v1

Dataset: https://paperswithcode.com/dataset/cuhk-sysu
👉 @bigdata_1

🐙 OCTIS : Optimizing and Comparing Topic Models is Simple!

Github: https://github.com/mind-Lab/octis

Paper: https://www.aclweb.org/anthology/2021.eacl-demos.31/
👉 @bigdata_1

ℹ️ LIGAR: Lightweight General-purpose Action Recognition

Github: https://github.com/openvinotoolkit/training_extensions

Paper: https://arxiv.org/abs/2108.13153v1

Models: https://github.com/openvinotoolkit/training_extensions/tree/develop/misc
👉 @bigdata_1

DomainBed is a PyTorch suite containing benchmark datasets and algorithms for domain generalization

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

Paper: https://arxiv.org/abs/2104.09937v1
👉 @bigdata_1

📁 Open-sourcing Common Objects in 3D, a large-scale data set for 3D reconstruction

Github: https://github.com/facebookresearch/co3d

Paper: https://arxiv.org/abs/2109.00512

Facebook blog: https://github.com/openvinotoolkit/training_extensions/tree/develop/misc

Dataset: https://ai.facebook.com/datasets/co3d-downloads/
👉 @bigdata_1

🚨LAST CALL на онлайн-хакатон Avanpost Challenge🚨

Мы перенесли дедлайн регистрации, чтобы все желающие успели принять участие! Регистрируйся на хакатон до 30 ноября 23:59 по ссылке!

Кейсы на выбор:
🔸 Автоматизация дообучения нейронной сети (ML/AI)
🔸 Распознавание отпечатков пальцев (Go)

Даты хакатона:
2 – 4 декабря 2022 года

На хакатоне тебя ждет:
🔹 Призовой фонд – 300.000 рублей
🔹 Шанс получить оффер
🔹 48 часов драйва в команде
🔹 Менторская поддержка и мастер-классы
🔹 Подарки и мерч

Challenge accepted!

#хакатон

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

Github: https://github.com/W-zx-Y/DANNet

Paper: https://arxiv.org/abs/2104.10834
👉 @bigdata_1