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Data Science by ODS.ai 🦜

Logo of telegram channel opendatascience — Data Science by ODS.ai 🦜 D
Logo of telegram channel opendatascience — Data Science by ODS.ai 🦜
Channel address: @opendatascience
Categories: Technologies
Language: English
Subscribers: 51.69K
Description from channel

First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @haarrp

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The latest Messages 27

2021-04-23 10:48:42 Starting -1 Data Science Breakfast as an audio chat
5.1K views07:48
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2021-04-23 10:32:56 Awesome graph repos

Collections of methods and papers for specific graph topics.

Graph-based Deep Learning Literature — Links to Conference Publications and the top 10 most-cited publications, Related workshops, Surveys / Literature Reviews / Books in graph-based deep learning.

awesome-graph-classification — A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations.

Awesome-Graph-Neural-Networks — A collection of resources related with graph neural networks..

awesome-graph — A curated list of resources for graph databases and graph computing tools

awesome-knowledge-graph — A curated list of Knowledge Graph related learning materials, databases, tools and other resources.

awesome-knowledge-graph — A curated list of awesome knowledge graph tutorials, projects and communities.

Awesome-GNN-Recommendation — graph mining for recommender systems.

awesome-graph-attack-papers — links to works about adversarial attacks and defenses on graph data or GNNs.

Graph-Adversarial-Learning — Attack-related papers, Defense-related papers, Robustness Certification papers, etc., ranging from 2017 to 2021.

awesome-self-supervised-gnn — Papers about self-supervised learning on GNNs.

awesome-self-supervised-learning-for-graphs — A curated list for awesome self-supervised graph representation learning resources.

Awesome-Graph-Contrastive-Learning — Collection of resources related with Graph Contrastive Learning.
5.2K views07:32
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2021-04-19 11:09:35 Unsupervised 3D Neural Rendering of Minecraft Worlds

Work on unsupervised neural rendering framework for generating photorealistic images of Minecraft (or any large 3D block worlds).

Why this is cool: this is a step towards better graphics for games.

Project Page: https://nvlabs.github.io/GANcraft/
YouTube:



#GAN #Nvidia #Minecraft
3.9K views08:09
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2021-04-11 17:01:33 Self-supervision paper from arxiv for histopathology CV.

Authors draw inspiration from the process of how histopathologists tend to review the images, and how those images are stored. Histopathology images are multiscale slices of enormous size (tens of thousands pixels by one side), and area experts constantly move through different levels of magnification to keep in mind both fine and coarse structures of the tissue.

Therefore, in this paper the loss is proposed to capture relation between different magnification levels. Authors propose to train network to order concentric patches by their magnification level. They organise it as the classification task — network to predict id of the order permutation instead of predicting order itself.

Also, authors proposed specific architecture for this task and appended self-training procedure, as it was shown to boost results even after pre-training.

All this allows them to reach quality increase even in high-data regime.

My description of the architecture and loss expanded here.
Source of the work here.
3.3K views14:01
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2021-04-10 09:57:38 Today @ 11:00 CET.
Parisian Data Breakfast will be held online ! See you soon at
https://spatial.chat/s/DataBreakfast
5.2K views06:57
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2021-04-10 00:11:32
1.3K views21:11
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