Improving Graph Convolutional Networks with Lessons from Transformers

https://blog.einstein.ai/improving-graph-networks-with-transformers/

👉 @bigdata_1

AAVAE: Augmentation-Augmented Variational Autoencoders

Github: https://github.com/gridai-labs/aavae

Paper: https://arxiv.org/abs/2107.12329v1

Dataset: https://paperswithcode.com/dataset/cifar-10

👉 @bigdata_1

Guide To GPyTorch: A Python Library For Gaussian Process Models

https://analyticsindiamag.com/guide-to-gpytorch-a-python-library-for-gaussian-process-models/

👉 @bigdata_1

RLQP: Accelerating Quadratic Optimization with RL

Github: https://github.com/berkeleyautomation/rlqp

Paper: https://arxiv.org/abs/2107.10833v1

👉 @bigdata_1

Know your data much faster with the new Sweetviz Python library

https://www.kdnuggets.com/2021/03/know-your-data-much-faster-sweetviz-python-library.html

👉 @bigdata_1

Introducing Triton: Open-Source GPU Programming for Neural Networks

https://openai.com/blog/triton/

Github: https://github.com/openai/triton

Documents: https://triton-lang.org/

👉 @bigdata_1

AUTOMATIC INTEGRATION

http://www.computationalimaging.org/publications/automatic-integration/

👉 @bigdata_1

Contextual Transformer Networks for Visual Recognition.


Github: https://github.com/JDAI-CV/CoTNet

Paper: https://arxiv.org/abs/2107.12292v1

Chalange: https://eval.ai/web/challenges/challenge-page/1041/leaderboard/2695

👉 @bigdata_1

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones

Github: https://github.com/PaddlePaddle/PaddleClas

Paper: https://arxiv.org/abs/2103.05959v1

👉 @bigdata_1

Введение в Машинное Обучение и Data Science

Введение в методики Машинного Обучения и Data Science
Разведочный Анализ Данных (Exploratory Data Analysis, EDA)
Категориальные признаки (разведочный анализ данных)
Разделение Данных и Метрики
Необходимая Теория (Часть 1)
Необходимая Теория (Часть 2)
Полный Пайплайн (Pipeline)
Простая Линейная Регрессия
Множественная Линейная Регрессия
Логистическая Регрессия

Полный курс на youtube

👉 @bigdata_1

Deepmind's Generally capable agents emerge from open-ended play

Blog : https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play

Paper: https://deepmind.com/research/publications/open-ended-learning-leads-to-generally-capable-agents

DeepMind Research: https://github.com/deepmind/deepmind-research

Video: https://www.youtube.com/watch?v=lTmL7jwFfdw&ab_channel=DeepMind

👉 @bigdata_1

TimeSformer: A new architecture for video understanding

https://ai.facebook.com/blog/timesformer-a-new-architecture-for-video-understanding/

Paper: https://arxiv.org/abs/2102.05095

👉 @bigdata_1

Droidlet: modular, heterogenous, multi-modal agents

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

Paper: https://arxiv.org/abs/2101.10384

Article: https://yangx.top/machinelearning_ru/279

👉 @bigdata_1

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

Github: https://github.com/csuhan/ReDet

Paper: https://arxiv.org/abs/2103.07733v1

👉 @bigdata_1

Pretrained Language Model

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models

Github: https://github.com/huawei-noah/Pretrained-Language-Model

Paper: https://arxiv.org/abs/2107.13686v1

AutoTinyBERT: https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/AutoTinyBERT

👉 @bigdata_1

Contactless Sleep Sensing in Nest Hub

http://ai.googleblog.com/2021/03/contactless-sleep-sensing-in-nest-hub.html

👉 @bigdata_1

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators

Github: https://github.com/rinongal/StyleGAN-nada

Paper: https://arxiv.org/abs/2108.00946v1

Project: https://stylegan-nada.github.io/

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

👉 @bigdata_1

Natural Language Processing Pipelines, Explained

https://www.kdnuggets.com/2021/03/natural-language-processing-pipelines-explained.html

👉 @bigdata_1

Google представил нейросеть для детекции туберкулеза на радиограммах

https://pubs.rsna.org/doi/10.1148/radiol.212213

👉 @bigdata_1

🥑 DALL·E Mini

Generate images from a text prompt

Demo: https://huggingface.co/spaces/flax-community/dalle-mini

Github: https://github.com/borisdayma/dalle-mini

Paper: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA

👉 @bigdata_1

UPANets: Learning from the Universal Pixel Attention Networks Edit social preview

Github: https://github.com/hanktseng131415go/UPANets

Paper: https://arxiv.org/pdf/2103.08640.pdf

👉 @bigdata_1