BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.

Github: https://github.com/manujosephv/pytorch_tabular

Paper: https://arxiv.org/abs/2104.13638v1
👉 @bigdata_1
AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Github: https://github.com/alibaba/AliceMind

Paper: https://arxiv.org/abs/2109.05687v1

Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
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Boosting Co-teaching with Compression Regularization for Label Noise

Github: https://github.com/yingyichen-cyy/Nested-Co-teaching

Paper: https://arxiv.org/abs/2104.13766v1
👉 @bigdata_1
Few-Shot Video Object Detection

Github: https://github.com/fanq15/FewX

Paper: https://arxiv.org/abs/2104.14805v1
👉 @bigdata_1
AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Github: https://github.com/alibaba/AliceMind

Paper: https://arxiv.org/abs/2109.05687v1

Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
Python implementation of the Bayesian Knowledge Tracing algorithm and variants, estimating student cognitive mastery from problem solving sequences.

Github: https://github.com/CAHLR/pyBKT

Tutorial: https://colab.research.google.com/drive/13abu919edUXbvPV3qeGPpvwnFBExU7Vd

Paper: https://arxiv.org/abs/2105.00385v1
👉 @bigdata_1
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet

Github: https://github.com/lukemelas/do-you-even-need-attention

Paper: https://arxiv.org/abs/2105.02723
👉 @bigdata_1
DensePhrases is an extractive phrase search tool based on your natural language inputs

Github: https://github.com/princeton-nlp/DensePhrases

Paper: https://arxiv.org/abs/2109.08133v1

Dataset: https://paperswithcode.com/dataset/squad
👉 @bigdata_1
Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms

https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/

👉 @bigdata_1
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☄️ Uncertainty-Aware Machine Translation Evaluation

Code: https://github.com/Unbabel/COMET

Paper: https://arxiv.org/abs/2109.06352v1

Documentation: https://unbabel.github.io/COMET/html/index.html
👉 @bigdata_1
Two4Two: Evaluating Interpretable Machine Learning -- A Synthetic Dataset For Controlled Experiments

Github: https://github.com/mschuessler/two4two

Paper: https://arxiv.org/abs/2105.02825v1
👉 @bigdata_1
🌳 WildWood: a new Random Forest algorithm

Github: https://github.com/pyensemble/wildwood

Paper: https://arxiv.org/abs/2109.08010v1

Documentation: https://wildwood.readthedocs.io/
👉 @bigdata_1
Chimera: Learning Shared Semantic Space for Speech-to-Text Translation (Nightly Version)

Github: https://github.com/Glaciohound/Chimera-SLT

Paper: https://arxiv.org/abs/2105.03095

👉 @bigdata_1