📄 HRFormer: High-Resolution Transformer for Dense Prediction, NeurIPS 2021

Github: https://github.com/HRNet/HRFormer

Paper: https://arxiv.org/abs/2110.09408v1

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

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⚙️SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning

Github: https://github.com/FederatedAI/FATE

Paper: https://arxiv.org/abs/2110.10927v1

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🅱️ Bi-directional Image and Text Generation

Github: https://github.com/researchmm/generate-it

Paper: https://arxiv.org/abs/2110.09753v1

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

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📌 PyTorch: Transfer Learning and Image Classification

https://www.pyimagesearch.com/2021/10/11/pytorch-transfer-learning-and-image-classification/

Dataset: https://www.tensorflow.org/datasets/catalog/tf_flowers

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🚀 NAS-FCOS: Fast Neural Architecture Search for Object Detection

Github: https://github.com/Lausannen/NAS-FCOS

Paper: https://arxiv.org/abs/2110.12423v1


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🌲 Revisiting randomized choices in isolation forests

Github: https://github.com/david-cortes/isotree

Paper: https://arxiv.org/abs/2110.13402v1

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😃 GoEmotions: A Dataset for Fine-Grained Emotion Classification

Github: https://github.com/google-research/google-research/tree/master/goemotions

Google AI: https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html

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🪛 OneFlow is a performance-centered and open-source deep learning framework.

Github: https://github.com/Oneflow-Inc/oneflow

Paper: https://arxiv.org/abs/2110.15032v2

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🖼 StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Github: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN

Paper: https://arxiv.org/abs/2111.01118v1

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

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Что прямо сейчас происходит в российских компьютерных науках?

Канал «Русские норм!» поговорил с учеными из Яндекса и узнал, насколько хорошо нейросети рисуют логотипы и пишут шансон и какие нюансы нужно учесть, чтобы запустить беспилотники на улицы.

Чему сейчас учат искусственный интеллект?
Что такое графы и как их используют в современных приложениях?
Что мешает роботам ориентироваться в реальном мире и можем ли мы им помочь?

Актуальное о Machine Learning и нейросетях — смотрите в выпуске «Ученые норм!».

🎯 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees

Github: https://github.com/AaltoML/BayesNewton

Paper: https://arxiv.org/abs/2111.01721v1

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📏 OpenPrompt: An Open-source Framework for Prompt-learning

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

Paper: https://arxiv.org/abs/2111.01998v1


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⚡️ Alias-Free Generative Adversarial Networks (StyleGAN3)

Github: https://github.com/pdillis/stylegan3-fun

Paper: https://arxiv.org/abs/2111.02175v1

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

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👁‍🗨 OCR Post Correction for Endangered Language Texts

Github: https://github.com/shrutirij/ocr-post-correction

Paper: https://arxiv.org/abs/2111.02622v1

Docs: https://shrutirij.github.io/ocr-el/

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🔵 BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning

Github: https://github.com/Bluefog-Lib/bluefog

Paper: https://arxiv.org/abs/2111.04287v1

Docs: https://bluefog-lib.github.io/bluefog/performance.html

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🔝 SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Github: https://github.com/sustainlab-group/sustainbench

Paper: https://arxiv.org/abs/2111.04724v1

Datasets: https://sustainlab-group.github.io/sustainbench/docs/datasets/

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🏡 AlphaGardenSim

The simulator implements a custom OpenAI gym reinforcement learning environment for this polyculture farming setup.

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

Paper: https://arxiv.org/abs/2111.06014v1

Project: https://rieff.jacksonchui.ai/

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📌 Dense Unsupervised Learning for Video Segmentation

Github: https://github.com/visinf/dense-ulearn-vos

Paper: https://openreview.net/pdf?id=i8kfkuiCJCI

Video: https://www.youtube.com/watch?v=BqVtZJSLOzg&ab_channel=VisualInference

Dataset: https://paperswithcode.com/dataset/davis-2017

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🔄 Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Github: https://github.com/pengzhiliang/MAE-pytorch

Paper: https://arxiv.org/abs/2111.06377

Pytorch: https://github.com/lucidrains/vit-pytorch

Dataset: https://paperswithcode.com/dataset/ade20k

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📶 Word Embeddings Transformers In SVM Classifier Using Python

https://www.nbshare.io/notebook/197284676/Word-Embeddings-Transformers-In-SVM-Classifier-Using-Python/

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