🤖 A Text-to-Speech Transformer in TensorFlow 2

Github: https://github.com/as-ideas/TransformerTTS

Paper: https://arxiv.org/abs/2103.00993v1

Samples: https://as-ideas.github.io/TransformerTTS/

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🧠 Multimodal Neurons in Artificial Neural Networks

https://openai.com/blog/multimodal-neurons/

Github: https://github.com/openai/CLIP-featurevis

Paper: https://distill.pub/2021/multimodal-neurons/

@ai_machinelearning_big_data

Register for the International Data Analysis Olympiad (IDAO-2021)! The registration continues until March 12.

This year, HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is ‘Otkritie’ Bank. The Olympiad is organised by leading data analysts for their future colleagues, early career analysts and scientists.

The online tour will focus on the search for dark matter - one of the few remaining mysteries of fundamental physics. Dark matter cannot be seen because it does not interact with light and interacts very weakly with ordinary matter. The task of IDAO participants is to build a model that recognises some known observation processes, so that they can be excluded from the search for dark matter.

Details and registration https://idao.world

Anycost GAN

Anycost GANs for Interactive Image Synthesis and Editing

https://hanlab.mit.edu/projects/anycost-gan/

Github: https://github.com/mit-han-lab/anycost-gan

Paper: https://arxiv.org/abs/2103.03243

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RTAB-Map

Real-Time Appearance-Based Mapping

http://introlab.github.io/rtabmap/

Github: https://github.com/introlab/rtabmap

Paper: https://arxiv.org/abs/2103.03827v1

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Precise Multi-Neuron Abstractions for Neural Network Certification

Github : https://github.com/eth-sri/eran

Paper: https://arxiv.org/abs/2103.03638v1

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👔 Virtual Try-on via Distilling Appearance Flows, CVPR 2021

Github: https://github.com/geyuying/PF-AFN

Paper: https://arxiv.org/abs/2103.04559

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Train and serve a TensorFlow model with TensorFlow Serving

https://www.tensorflow.org/tfx/tutorials/serving/rest_simple

Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/serving/rest_simple.ipynb

Dataset: https://github.com/zalandoresearch/fashion-mnist

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Involution: Inverting the Inherence of Convolution for Visual Recognition

Github: https://github.com/d-li14/involution

Paper: https://arxiv.org/abs/2103.06255

OpenMMLab: https://openmmlab.com/

@ai_machinelearning_big_data

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous-variable quantum optical circuits.

Github: https://github.com/XanaduAI/strawberryfields

Paper: https://arxiv.org/pdf/2103.05530v1.pdf

@ai_machinelearning_big_data

MagFace: A Universal Representation for Face Recognition and Quality Assessment

Github: https://github.com/IrvingMeng/MagFace

Paper: https://arxiv.org/abs/2103.06627

Code example: https://github.com/IrvingMeng/MagFace/blob/main/inference/examples.ipynb

@ai_machinelearning_big_data

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Github: https://github.com/hkchengrex/MiVOS

Paper: https://arxiv.org/pdf/2103.07941v1.pdf

@ai_machinelearning_big_data

Open Avatarify Photorealistic avatars for video-conferencing apps. Democratized.

Github: https://github.com/alievk/avatarify-python

Demo: https://www.youtube.com/watch?v=Q7LFDT-FRzs&feature=youtu.be&ab_channel=AliAliev

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Probabilistic two-stage detection

Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network.

Github: https://github.com/xingyizhou/CenterNet2

Paper: https://arxiv.org/abs/2103.07461v1


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🔷 PyTorch Geometric Temporal is a temporal (dynamic) extension library for PyTorch Geometric.

Github: https://github.com/benedekrozemberczki/pytorch_geometric_temporal

Paper: https://dl.acm.org/doi/10.1145/3308560.3316581

Dataset: https://pytorch-geometric-temporal.readthedocs.io/en/latest/notes/introduction.html#discrete-time-datasets

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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks, ICLR 2021 (Spotlight)

Gitub: https://github.com/zsyzzsoft/co-mod-gan

Paper: https://openreview.net/pdf?id=sSjqmfsk95O

Demo: http://comodgan.ml/

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Contrastive Learning of Musical Representations

Github: https://github.com/spijkervet/CLMR

Paper: https://arxiv.org/abs/2103.09410

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🔬 The Best ML Frameworks & Extensions for Scikit-learn

https://neptune.ai/blog/the-best-ml-framework-extensions-for-scikit-learn

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The last article in uplift modeling tutorials by MTS data scientists: “Metrics in uplift modeling”📈

Uplift models are used to promote products and create advertising segments 🤑

📗 Habr: https://habr.com/ru/company/ru_mts/blog/538934/
💻 Code: https://nbviewer.jupyter.org/github/maks-sh/scikit-uplift/blob/master/notebooks/uplift_metrics_tutorial.ipynb