BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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Language Models are Few-shot Multilingual Learners

Github: https://github.com/gentaiscool/few-shot-lm

Paper: https://arxiv.org/abs/2109.07684v1

👉 @bigdata_1
EL-Attention: Memory Efficient Lossless Attention for Generation

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

Paper: https://arxiv.org/abs/2105.04779v1

👉 @bigdata_1
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CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.

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

Documents: https://facebookresearch.github.io/CompilerGym/

Paper: https://arxiv.org/abs/2109.08267v1

👉 @bigdata_1
SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization

Github: https://github.com/Aaditya-Singh/SAFIN

Paper: https://arxiv.org/abs/2105.06129v1

👉 @bigdata_1
Don’t be Contradicted with Anything!CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

Github: https://github.com/yizhen20133868/ci-tod

Paper: https://arxiv.org/abs/2109.11292v1

Dataset: https://paperswithcode.com/dataset/kvret-1

👉 @bigdata_1
GAN Prior Embedded Network for Blind Face Restoration in the Wild

Github: https://github.com/yangxy/GPEN

Paper: https://arxiv.org/abs/2105.06070v1

👉 @bigdata_1
Deep Learning Dataset For Passage and Document Retrieval

Github: https://github.com/grill-lab/DL-Hard

Paper: https://arxiv.org/abs/2105.07975v1

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PASS: Pictures without humAns for Self-Supervised Pretraining

PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information.

Github: https://github.com/yukimasano/PASS

Paper: https://arxiv.org/abs/2109.13228v1

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

Documentation: https://www.robots.ox.ac.uk/~vgg/research/pass/

👉 @bigdata_1
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Vision Transformer for Fast and Efficient Scene Text Recognition

Github: https://github.com/roatienza/deep-text-recognition-benchmark

Paper: https://arxiv.org/abs/2105.08582

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OpenNRE

Reviewing Test Protocols of Distantly Supervised Relation Extraction

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

Paper: https://arxiv.org/abs/2105.09543v1

👉 @bigdata_1
MiniHack is a sandbox framework for easily designing rich and diverse environments for Reinforcement Learning

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

Facebook AI: https://ai.facebook.com/blog/minihack-a-new-sandbox-for-open-ended-reinforcement-learning/

Paper: https://arxiv.org/abs/2109.13202

Documentation: https://minihack.readthedocs.io/

👉 @bigdata_1
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Awesome list of datasets in 100+ categories
44 zettabytes of data

https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

👉 @bigdata_1
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High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

Github: https://github.com/csjliang/LPTN

Paper: https://arxiv.org/abs/2105.09188v1

👉 @bigdata_1