📹 VRT: A Video Restoration Transformer

Github: https://github.com/jingyunliang/vrt

Paper: https://arxiv.org/abs/2201.12288

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

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📍 Competition-Level Code Generation with AlphaCode

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

Paper: https://storage.googleapis.com/deepmind-media/AlphaCode/competition_level_code_generation_with_alphacode.pdf

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

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VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Github: https://github.com/deeplearning-wisc/vos

Paper: https://arxiv.org/pdf/2202.01197v2.pdf

Dataset: https://paperswithcode.com/dataset/bdd100k

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🦾 The easiest way to the neuroscience world with the shield for RaspberryPi

Github: https://github.com/Ildaron/EEGwithRaspberryPI

Paper: https://arxiv.org/pdf/2202.01936v1.pdf

Project: https://www.crowdsupply.com/hackerbci/pieeg

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🖌 Two-Dimensional Tensors in Pytorch

https://machinelearningmastery.com/two-dimensional-tensors-in-pytorch/

One-Dimensional Tensors: https://machinelearningmastery.com/one-dimensional-tensors-in-pytorch/

PyTorch tensor Tutorial: https://pytorch.org/tutorials/beginner/basics/tensorqs_tutorial.html

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🗒 DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

Github: https://github.com/j-min/dalleval

Paper: https://arxiv.org/pdf/2202.01936v1.pdf

Data: https://drive.google.com/drive/folders/1Bza2zyvHLvComohZ9PAGyykY7sm7JoIH

Dataset: https://paperswithcode.com/dataset/conceptual-captions

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🎬 FILM: Frame Interpolation for Large Scene Motion

Github: https://github.com/google-research/frame-interpolation

Paper: https://arxiv.org/pdf/2202.04901.pdf

Video: https://www.youtube.com/watch?v=OAD-BieIjH4

Project: https://film-net.github.io/

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Опубликованы новые материалы по Machine Learning от Школы анализа данных Яндекса 🔥

То самое пособие, которое ШАД разместила в открытом доступе, пополнилось новым разделом — про базовые архитектуры и обучение нейросетей. Чтобы вы лучше разобрались в предыдущих темах, авторы также добавили главы о математике ML: матричное дифференцирование и bias-variance decomposition.

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💡 A lightweight vision library for performing large scale object detection & instance segmentation

Github: https://github.com/obss/sahi

Paper: https://arxiv.org/abs/2202.06934v1

Kaggle notebook: https://www.kaggle.com/remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx

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


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🐙 OCTIS : Optimizing and Comparing Topic Models is Simple!

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

Paper: https://arxiv.org/abs/2202.07631v1

Dataset: https://paperswithcode.com/dataset/20-newsgroups

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🗣 Facebbok’s textless-lib: a Library for Textless Spoken Language Processing

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

Code examples: https://github.com/facebookresearch/textlesslib/tree/main/examples

Paper: https://arxiv.org/abs/2202.07359v1

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

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🔎 Anomalib: A Deep Learning Library for Anomaly Detection

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

Docs: https://openvinotoolkit.github.io/anomalib/

Paper: https://arxiv.org/abs/2202.08341v1

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

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💻 Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Github: https://github.com/nvlabs/instant-ngp

HashNeRF-pytorch: https://openvinotoolkit.github.io/anomalib/

Paper: https://arxiv.org/abs/2201.05989v1


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Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation

Github: https://github.com/tzer-anonbot/tzer

Docs: https://tzer.readthedocs.io/en/latest/markdown/artifact.html

Paper: https://arxiv.org/abs/2202.09947v1


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🔥 The Complete Collection of Data Science Cheat Sheets

https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

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☑️ One-shot Affordance Detection

Github: https://github.com/lhc1224/OSAD_Net

Paper: https://arxiv.org/abs/2202.12076v1

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

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👁 Visual Attention Network (VAN)

Github: https://github.com/Visual-Attention-Network/VAN-Classification

Paper: https://arxiv.org/pdf/2202.09741.pdf

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

@ai_machinelearning_big_data

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💥 Local and Global GANs with Semantic-Aware Upsampling for Image Generation

Github: https://github.com/Ha0Tang/LGGAN

Paper: https://arxiv.org/abs/2203.00047v1

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

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🎲 Bayesian IRT models in Python

Github: https://github.com/nd-ball/py-irt

Paper: https://arxiv.org/abs/2203.01282v1

Bayesian IRT: https://m-clark.github.io/models-by-example/bayesian-irt.html

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