Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

Github: https://github.com/TZYSJTU/Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

Paper: https://arxiv.org/abs/2012.09004

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🌐 Optimization Algorithms in Neural Networks

https://datascience-enthusiast.com/DL/Optimization_methods.html

Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks

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Learning Continuous Image Representation with Local Implicit Image Function.

https://yinboc.github.io/liif/

Github: https://github.com/yinboc/liif

Video: https://www.youtube.com/watch?v=6f2roieSY_8

Paper: https://arxiv.org/abs/2012.09161

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🔮 An end-to-end machine learning project with Python Pandas, Keras, Flask, Docker and Heroku

Article: https://towardsdatascience.com/an-end-to-end-machine-learning-project-with-python-pandas-keras-flask-docker-and-heroku-c987018c42c7

Habr Ru: https://habr.com/ru/company/skillfactory/blog/534078

Code: https://github.com/RyanEricLamb/rugby-score-prediction

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🎇 TensorFlow Tutorial

https://datascience-enthusiast.com/DL/Tensorflow_Tutorial.html

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YolactEdge: Real-time Instance Segmentation on the Edge

Github: https://github.com/haotian-liu/yolact_edge

Demo: https://www.youtube.com/watch?v=GBCK9SrcCLM

Paper: https://arxiv.org/abs/2012.12259

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🔥 DeiT: Data-efficient Image Transformers

Gittub: https://github.com/facebookresearch/deit

Facebook’s research: https://ai.facebook.com/blog/data-efficient-image-transformers-a-promising-new-technique-for-image-classification/

Paper: https://arxiv.org/abs/2012.12877v1

Vision Transformer: https://github.com/lucidrains/vit-pytorch

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🌐 Global Context Networks

Github: https://github.com/xvjiarui/GCNet

Paper: https://arxiv.org/abs/2012.13375v1


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Check the data science channel there you will find a lot of articles, links and advanced researches .
Join and learn hot topics of data science @opendatascience

​​Solving Mixed Integer Programs Using Neural Networks

Article on speeding up Mixed Integer Programs with ML. Mixed Integer Programs are usually NP-hard problems:

- Problems solved with linear programming
- Production planning (pipeline optimization)
- Scheduling / Dispatching

Or any problems where integers represent various decisions (including some of the graph problems).

ArXiV: https://arxiv.org/abs/2012.13349
Wikipedia on Mixed Integer Programming: https://en.wikipedia.org/wiki/Integer_programming

#NPhard #MILP #DeepMind #productionml #linearprogramming #optimizationproblem

Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders

Project: https://taldatech.github.io/soft-intro-vae-web/

Github: https://github.com/taldatech/soft-intro-vae-pytorch

Paper: https://arxiv.org/abs/2012.13253v1

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💉 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining

Github: https://github.com/BruceWen120/medal

Paper: https://arxiv.org/abs/2012.13978v1

Dataset: https://www.kaggle.com/xhlulu/medal-emnlp

Pre-trained: https://huggingface.co/xhlu/electra-medal

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🧠 2020: A Year Full of Amazing AI Papers — A Review

https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

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🎨 Colorization Transformer

Github: https://github.com/satoshiiizuka/siggraphasia2019_remastering

Results: http://iizuka.cs.tsukuba.ac.jp/projects/remastering/en/index.html

Paper: https://openreview.net/forum?id=5NA1PinlGFu

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🗒 Machine Learning Cheat Sheets

https://sites.google.com/view/datascience-cheat-sheets

Machine Learning Animations: https://sites.google.com/view/mlingifs#h.341bzfgiuxfx

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👁‍🗨 LambdaNetworks: Modeling long-range Interactions without Attention

New approach to image recognition that reaches SOTA on ImageNet

Github: https://github.com/leaderj1001/LambdaNetworks

Paper: https://openreview.net/forum?id=xTJEN-ggl1b

Fork: https://github.com/leaderj1001/LambdaNetworks

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Not All Memories are Created Equal: Learning to Expire

Github: https://github.com/lucidrains/learning-to-expire-pytorch

Paper: https://openreview.net/forum?id=ZVBtN6B_6i7

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🦠 COVID-Affinity-Model

Github: https://github.com/AlexTS1980/COVID-Affinity-Model

Paper: https://www.medrxiv.org/content/10.1101/2020.12.29.20248987v1.full.pdf

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🚀 DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions

Introduction: https://openai.com/blog/tags/multimodal/

Deepmind Blog: https://openai.com/blog/dall-e/

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

Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language.pdf

Colab: https://colab.research.google.com/github/openai/clip/blob/master/Interacting_with_CLIP.ipynb

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