Computer Science and Programming. Страница 7
Channel for who have a passion for Computer Vision, #Deep and #Machine #Learning, #Artificial #Intelligence and Python programming. Up-to-date books, articles or links provided based on #Python.
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Computer Science and Programming
Here is a new, and free book on Machine Learning from scratch. It includes the math and code examples. Solid reference. -
Computer Science and Programming
Organize the daily influx of ML content in meaningful ways without feeling overwhelmed,
By Goku Mohandas et al. :
https://madewithml.com/collections/ -
Computer Science and Programming
Brian Huge, Antoine Savine :
https://arxiv.org/abs/2005.02347
TF1 implementation notebook on Colab: https://colab.research.google.com/github/differential-machine-learning/notebooks/blob/master/DifferentialML.ipynb -
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Computer Science and Programming
Differential Machine Learning -
Computer Science and Programming
FREE PDF download:
https://d2l.ai/d2l-en.pdf
Download the book in 'notebook' format to read and execute locally:
https://d2l.ai/chapter_installation/index.html
Website:
https://d2l.ai
Github:
https://github.com/d2l-ai/d2l-en
Article:
https://www.amazon.science/latest-news/amazon-scientists-author-popular-deep-learning-book -
Computer Science and Programming
Dive Into Deep Learning
August 2020 and FREE version!!! D2L is the 987-page book that Amazon scientists have compiled over the past two years and has finally been completed... an interactive and ' open source book ' with code, math and discussions.
What makes this book unique is that it was created with Jupyter Notebook and with the idea of ′′ Learning with Practice "... that is, the book in its entirety consists of executable code with adaptations in PyTorch, TensorFlow and MXNet. -
Computer Science and Programming
Classification library
https://github.com/Tessellate-Imaging/monk_v1
Notebooks - https://github.com/Tessellate-Imaging/monk_v1/tree/master/study_roadmaps/4_image_classification_zoo
Detection and Segmentation Library
https://github.com/Tessellate-Imaging/
Monk_Object_Detection
Notebooks: https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo -
Computer Science and Programming
80+ Jupyter Notebook tutorials on image classification, object detection and image segmentation in various domains
📌 Agriculture and Food
📌 Medical and Healthcare
📌 Satellite
📌 Security and Surveillance
📌 ADAS and Self Driving Cars
📌 Retail and E-Commerce
📌 Wildlife -
Computer Science and Programming
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Computer Science and Programming
Baidu publishes PP-YOLO and pushes the state of the art in object detection research. -
Computer Science and Programming
Tackled the problem of defining a perturbation set for real-world perturbations which cannot be easily described with a set of equations.
Paper: https://arxiv.org/abs/2007.08450
Blog post: https://locuslab.github.io/2020-07-20-perturbation/
Code: https://github.com/locuslab/perturbation_learning -
Computer Science and Programming
Learning perturbation sets for robust machine learning -
Computer Science and Programming
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Computer Science and Programming
One more great source of Data Science, Deep Learning, Machine Learning, Computer Vision, AI and more...
Enjoy with hot topics and projects -
Computer Science and Programming
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Computer Science and Programming
Up-to-date and detailed explanation of Deep Learning Models from Sebastian Raschka
A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks. (80 Jupyter Notebook notes in total) -
Computer Science and Programming
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Computer Science and Programming
Recently published Comprehensive survey about role of Deep Learning for Scientific discovery (March, 2020). Well structured information given from the authors by providing supplementary materials (Github code links).
It worth to spend time to read.