New paper by Yandex.MILAB 🎉
Tired of waiting for backprop to project your face into StyleGAN latent space to use some funny vector on it? Just distilate this tranformation by pix2pixHD!
arxiv.org/abs/2003.03581
@Machine_learn

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Graph Isomorphism Software

Open-source software for finding isomorphism or canonical forms of graphs.

* Nauty/Traces
* Bliss
* saucy
* conauto
* Gi-ext

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Train transformer language models with reinforcement learning.

https://lvwerra.github.io/trl/

Code: https://github.com/openai/lm-human-preferences

Paper: https://arxiv.org/pdf/1909.08593.pdf

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Flows for simultaneous manifold learning and density estimation

A new class of generative models that simultaneously learn the data manifold as well as a tractable probability density on that manifold.

Code: https://github.com/johannbrehmer/manifold-flow

Paper: https://arxiv.org/abs/2003.13913

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Gradient Centralization: A New Optimization Technique for Deep Neural Networks

Code: https://github.com/Yonghongwei/Gradient-Centralization

Paper: https://arxiv.org/abs/2004.01461

! pip install covid ‌
🦠
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Artificial Vision and Language Processing for Robotics
#vision
#languageprocessing
#python
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Advancing Self-Supervised and Semi-Supervised Learning with SimCLR

https://ai.googleblog.com/2020/04/advancing-self-supervised-and-semi.html

Code and Pretrained-Models: https://github.com/google-research/simclr

Papare: https://arxiv.org/abs/2002.05709

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Deep unfolding network for image super-resolution

Deep unfolding network inherits the flexibility of model-based methods to super-resolve blurry, noisy images for different scale factors via a single model, while maintaining the advantages of learning-based methods.

Github: https://github.com/cszn/USRNet

Paper: https://arxiv.org/pdf/2003.10428.pdf

Python Data Visualization
Cookbook Second Edition
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TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Github: https://github.com/jayleicn/TVRetrieval


PyTorch implementation : https://github.com/jayleicn/TVCaption

Paper: https://arxiv.org/abs/2001.09099v1

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PUBG Data Analysis
https://youtu.be/sah4m-9Il7o

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Regularizing Meta-Learning via Gradient Dropout

Code: https://github.com/hytseng0509/DropGrad

Paper: https://arxiv.org/abs/2004.05859

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Machine Learning and Data Science free online courses to do in quarantine

A. Beginner courses
1. Machine Learning
2. Machine Learning with Python

B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks

C. Advanced course
5. Advanced Machine Learning Specialization

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Local-Global Video-Text Interactions for Temporal Grounding



Github: https://github.com/JonghwanMun/LGI4temporalgrounding

Paper: https://arxiv.org/abs/2004.07514

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​​In a chord diagram (or radial network), entities are arranged radially as segments with their relationships visualised by arcs that connect them. The size of the segments illustrates the numerical proportions, whilst the size of the arc illustrates the significance of the relationships1.

Chord diagrams are useful when trying to convey relationships between different entities, and they can be beautiful and eye-catching.

https://github.com/shahinrostami/chord

#python