🌲 Revisiting randomized choices in isolation forests

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

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

@ai_machinelearning_big_data

😃 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

@ai_machinelearning_big_data

🪛 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

@ai_machinelearning_big_data

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

@ai_machinelearning_big_data

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

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

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


@ai_machinelearning_big_data

⚡️ 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

@ai_machinelearning_big_data

👁‍🗨 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/

@ai_machinelearning_big_data

🔵 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

@ai_machinelearning_big_data

🔝 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/

@ai_machinelearning_big_data

🏡 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/

@ai_machinelearning_big_data

📌 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

@ai_machinelearning_big_data

🔄 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

@ai_machinelearning_big_data

📶 Word Embeddings Transformers In SVM Classifier Using Python

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

@ai_machinelearning_big_data

🧊 GANformer: Generative Adversarial Transformers

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

Paper: https://arxiv.org/abs/2111.08960

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

@ai_machinelearning_big_data

📱 Best it channels in telegram

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DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Github: https://github.com/microsoft/DeBERTa

Explanation: https://www.youtube.com/watch?v=_c6A33Fg5Ns&ab_channel=YannicKilcher

Paper: https://arxiv.org/abs/2111.09543v1

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

Documentation: https://deberta.readthedocs.io/en/latest/

@ai_machinelearning_big_data

🌍 TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

Github: https://github.com/microsoft/torchgeo

Paper: https://arxiv.org/abs/2111.08872v1

Dataset: https://paperswithcode.com/dataset/so2sat-lcz42

Documentation: https://github.com/microsoft/torchgeo#documentation

@ai_machinelearning_big_data

👀 PoolFormer: MetaFormer is Actually What You Need for Vision

Github: https://github.com/sail-sg/poolformer

Paper: https://arxiv.org/abs/2111.11418

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

Colab: https://colab.research.google.com/github/sail-sg/poolformer/blob/main/misc/poolformer_demo.ipynb

@ai_machinelearning_big_data