Leveraging Machine Learning for Game Development

https://ai.googleblog.com/2021/03/leveraging-machine-learning-for-game.html

Habr: https://habr.com/ru/company/google/blog/553346/

👉 @bigdata_1

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Understanding Autoencoders With Examples

https://www.nbshare.io/notebook/86916405/Understanding-Autoencoders-With-Examples/

👉 @bigdata_1

Learn About Transformers: A Recipe

https://elvissaravia.substack.com/p/learn-about-transformers-a-recipe

👉 @bigdata_1

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

Github: https://github.com/mims-harvard/TDC

Paper: https://arxiv.org/abs/2102.09548

Datasets: https://tdcommons.ai/

👉 @bigdata_1

Rectified Linear Unit For Artificial Neural Networks - Part 1 Regression

https://www.nbshare.io/notebook/584445049/Rectified-Linear-Unit-For-Artificial-Neural-Networks-Part-1-Regression/

👉 @bigdata_1

🔥Self-Supervised Vision Transformers with DINO

Github: https://github.com/facebookresearch/dino

Facebook blog: https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training

Paper: https://arxiv.org/abs/2104.14294

👉 @bigdata_1

🚀 This is an open source toolkit called s3prl, which stands for Self-Supervised Speech Pre-training and Representation Learning

Github: https://github.com/s3prl/s3prl

Paper: https://arxiv.org/abs/2105.01051v1

👉 @bigdata_1

🔥 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

👉 @bigdata_1

⚽️ 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/

👉 @bigdata_1

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

👉 @bigdata_1

Powerful Exploratory Data Analysis in just two lines of code

https://www.kdnuggets.com/2021/02/powerful-exploratory-data-analysis-sweetviz.html

👉 @bigdata_1

CSTR: A Classification Perspective on Scene Text Recognition

Github: https://github.com/Media-Smart/vedastr

Paper: https://arxiv.org/abs/2102.10884v1

👉 @bigdata_1

Шпаргалка по всем сетям, их
классификация и строгое описание

Жариков Илья Николаевич
Московский физико-технический институт
Факультет управления и прикладной математики
Кафедра интеллектуальных систем

👉 @bigdata_1

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

👉 @bigdata_1

📷 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

👉 @bigdata_1

💥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/

👉 @bigdata_1

A Relational Tsetlin Machine with Applications to Natural Language Understanding

Github: https://github.com/cair/pyTsetlinMachine

Paper: https://arxiv.org/abs/2102.10952v1

👉 @bigdata_1

Evolution Strategies From Scratch in Python

https://machinelearningmastery.com/evolution-strategies-from-scratch-in-python/

👉 @bigdata_1

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

👉 @bigdata_1

Simple multi-dataset detection

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

Paper: https://arxiv.org/abs/2102.13086v1

👉 @bigdata_1