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D Ф m i И i q ц e L Ф y e r's Projects

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T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

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Drawing a smart dart art. If you are less artistic, use commands, based on the Logo programming language for children, to learn basic programming concepts by drawing.

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:books: List of awesome university courses for learning Computer Science!

brew icon brew

🍺 The missing package manager for macOS (or Linux)

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Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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📚Data science works by Dominique Loyer, President Sherbrooke Informatique

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

inltk icon inltk

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

labs icon labs

Rmd source files for the HarvardX series PH525x

lightning icon lightning

Large-scale linear classification, regression and ranking in Python

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