BigData

The Machine & Deep Learning Compendium Open Book

https://book.mlcompendium.com/

GitBook: https://github.com/orico/www.mlcompendium.com

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Diffusion Models Beat GANs on Image Synthesis

Github: https://github.com/openai/guided-diffusion

Paper: https://arxiv.org/abs/2105.05233v1

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Simple Entity-Centric Questions Challenge Dense Retrievers

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

Paper: https://arxiv.org/abs/2109.08535v1

Dataset: https://paperswithcode.com/dataset/natural-questions

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⚽️ Advancing sports analytics through AI research

🔥 Deepmind blog : https://deepmind.com/blog/article/advancing-sports-analytics-through-ai

A Dataset and Benchmarks: https://soccer-net.org/

Dataset: https://github.com/statsbomb/open-data

Paper: https://sites.google.com/view/ijcai-aisa-2021/

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📄 Revisiting Mask-Head Architectures for Novel Class Instance Segmentation

https://ai.googleblog.com/2021/09/revisiting-mask-head-architectures-for.html

DeepMAC model: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/deepmac.md

Paper: https://arxiv.org/abs/2104.00613

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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

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Body Meshes as Points

Github: https://github.com/jfzhang95/BMP

Paper: https://arxiv.org/abs/2105.02467v1
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🌳 WildWood: a new Random Forest algorithm

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

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

Documentation: https://wildwood.readthedocs.io/
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Two4Two: Evaluating Interpretable Machine Learning -- A Synthetic Dataset For Controlled Experiments

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

Paper: https://arxiv.org/abs/2105.02825v1
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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
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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/

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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
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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
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🗳 Image Shape Manipulation from a Single Augmented Training Sample

Github: https://github.com/eliahuhorwitz/DeepSIM

Paper: https://arxiv.org/abs/2109.06151v1

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

Project: http://www.vision.huji.ac.il/deepsim
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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
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✅ 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
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StyleMapGAN - Official PyTorch Implementation

Github: https://github.com/naver-ai/StyleMapGAN

Paper: https://arxiv.org/abs/2104.14754v1

Video: https://youtu.be/qCapNyRA_Ng
👉 @bigdata_1

📖 Physics-Based Deep Learning

Book: https://www.physicsbaseddeeplearning.org/intro.html

Github: https://github.com/thunil/Physics-Based-Deep-Learning

Deep-Flow-Prediction: https://github.com/thunil/Deep-Flow-Prediction

Paper: https://arxiv.org/abs/2109.05237v1
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Few-Shot Video Object Detection

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

Paper: https://arxiv.org/abs/2104.14805v1
👉 @bigdata_1

🔧 Neural Networks Block Movement Pruning

Code: https://github.com/huggingface/nn_pruning

Paper: https://arxiv.org/abs/2109.04838v1

Documentation: https://github.com/huggingface/nn_pruning/blob/main/docs/HOWTO.md
👉 @bigdata_1