Image classification with TensorFlow Lite Model Maker

https://www.tensorflow.org/lite/tutorials/model_maker_image_classification

⚙ Code

💻 Colab

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🔥 Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion

Github: https://github.com/Turmac/light_field_synthesis

Project: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html

Ru: https://neurohive.io/ru/novosti/two-cnn-for-photos/

Paper: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf

Dataset: https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view

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💬 How to Fine Tune BERT for Text Classification using Transformers in Python

https://www.thepythoncode.com/article/finetuning-bert-using-huggingface-transformers-python

Code: https://www.thepythoncode.com/code/finetuning-bert-using-huggingface-transformers-python

Dataset: https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html

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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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🤖 Conversational AI Chatbot with Transformers in Python

https://www.thepythoncode.com/article/conversational-ai-chatbot-with-huggingface-transformers-in-python

Code: https://www.thepythoncode.com/code/conversational-ai-chatbot-with-huggingface-transformers-in-python

Text to speech: https://www.thepythoncode.com/article/convert-text-to-speech-in-python

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🚘 Highway-env

A collection of environments for autonomous driving and tactical decision-making tasks

Github: https://github.com/eleurent/highway-env

Documentation: https://highway-env.readthedocs.io/en/latest/

Paper: https://arxiv.org/abs/2105.05701v1

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Многослойная нормализация: новый метод улучшения эффективности нейронных сетей

https://neurohive.io/ru/novosti/mnogoslojnaya-normalizaciya-novyj-metod-uluchsheniya-effektivnosti-nejronnyh-setej/

En: https://www.frontiersin.org/articles/10.3389/fnins.2021.626277/full

@machinelearning_ru

🧠 Teaching AI how to forget at scale

Video: https://www.youtube.com/watch?v=hI6iJmPgm_k&ab_channel=FacebookAIFacebookAI

Facebook AI: https://ai.facebook.com/blog/teaching-ai-how-to-forget-at-scale/

Github: https://github.com/facebookresearch/transformer-sequential

Paper: https://ai.facebook.com/research/publications/not-all-memories-are-created-equal

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📷 NeRF Meta Learning With PyTorch

Given a single input view, meta-initialized NeRF can generate a 360-degree video.

Github: https://github.com/sanowar-raihan/nerf-meta

Paper: https://arxiv.org/abs/2012.02189

Original Project Page: https://www.matthewtancik.com/learnit

Official JAX Implementation: https://github.com/tancik/learnit

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💥DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

Github: https://nv-tlabs.github.io/datasetGAN/

Article: https://www.infoq.com/news/2021/05/nvidia-dataset-generator/

Ru: https://neurohive.io/ru/novosti/datasetgan-generator-sinteticheskih-annotirovannyh-datasetov-nvidia/

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📕 Font Style that Fits an Image -- Font Generation Based on Image Context

Github: https://github.com/Taylister/FontFits

Paper: https://arxiv.org/abs/2105.08879v1

Dataset creation: https://github.com/Taylister/TGNet-Datagen

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🔥 Awesome list of datasets in 100+ categories
44 zettabytes of data

https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

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🎉 24 мая в Москве наградили молодых ученых и их наставников, занимающихся научной работой в области компьютерных наук. Поздравляем лауреатов премии имени Ильи Сегаловича! 🎉

Каждый из них получит по 1 миллиону рублей, который будет можно потратить на собственные исследования. В этом году Совет премии отметил шесть исследователей из НИУ ВШЭ, МФТИ и Сколковского института науки и технологий.
⚠️ Узнайте больше о тех, кто получил премию, и как принять в ней участие: https://clck.ru/V3QDF

🧠 NeuroKit2: A Python toolbox for neurophysiological signal processing

A user-friendly package providing easy access to advanced biosignal processing routines.

Github: https://github.com/neuropsychology/NeuroKit

Paper: https://link.springer.com/article/10.3758/s13428-020-01516-y

Docs: https://neurokit2.readthedocs.io/en/latest/installation.html

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✔️ GPBoost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

Github: https://github.com/fabsig/GPBoost

Demo code: https://htmlpreview.github.io/?https://github.com/fabsig/GPBoost/blob/master/examples/GPBoost_demo.html

Paper: https://arxiv.org/abs/2105.08966v2

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🗯 Unsupervised Speech Recognition

Github: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec/unsupervised

Pretraned model: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec

Facebook blog: https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/

Paper

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Yolov5-face is a real-time,high accuracy face detection

Github: https://github.com/deepcam-cn/yolov5-face

Paper: https://arxiv.org/abs/2105.12931v1

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💥Grokking Artificial Intelligence Algorithms

⬇️ Download

💥Grokking Deep Reinforcement Learning

⬇️ Download

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🏎 Make Pandas 3 Times Faster with PyPolars

Code : https://www.kdnuggets.com/2021/05/pandas-faster-pypolars.html

Github: https://github.com/pola-rs/polars

User Guide: https://pola-rs.github.io/polars-book

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You Only 👀 One Sequence

Rethinking Transformer in Vision through Object Detection

Github: https://paperswithcode.com/paper/you-only-look-at-one-sequence-rethinking

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

Paper: https://arxiv.org/abs/2106.00666

@ai_machinelearning_big_data