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LearnOpenCV - Learn OpenCV, PyTorch, Keras, Tensorflow with examples and tutorials

Learn computer vision, machine learning, and artificial intelligence with OpenCV, PyTorch, Keras, and Tensorflow examples and tutorials

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Topics: alexnet, c++, computer vision, conditional gan, cuda., image processing, install opencv, install opencv ubuntu, learn opencv, learnopencv, machine learning, opencv, opencv install, openvino, python, school of ai, tensorflow with examples and tutorials

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opencv.org
OpenCV - Open Computer Vision Library
OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).

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pyimagesearch.com
PyImageSearch - You can master Computer Vision, Deep Learning, and OpenCV.
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opencv-python-tutroals.readthedocs.io
This project is abandoned — Abandoned project 1.0 documentation
This project is abandoned — Abandoned project 1.0 documentation

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scikit-image.org
scikit-image: Image processing in Python — scikit-image
scikit-image: Image processing in Python — scikit-image

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keras.io
Keras: Deep Learning for humans
Keras documentation . James J. Kerasiotes was the director of the Massachusetts Turnpike Authority and the project manager of the Big Dig in Boston during the 1990s. He was asked to resign by Massachusetts governor Paul Celucci on April 11, 2000, because of cost overruns. The Big Dig has continued to suffer cost overruns and other setbacks since then. He also served as Secretary of Transportation in the Cabinet of Governors William Weld and Paul Celluci from 1992 to 1998. Before entering state government, Kerasiotes was publisher of NewsWest, a suburban newspaper in eastern Massachusetts, and later a director of Tab Communications, a chain of weekly newspapers west of Boston.

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dlib.net
dlib C++ Library
dlib C++ Library

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cmake.org
CMake - Upgrade Your Software Build System
CMake is a powerful and comprehensive solution for managing the software build process. CMake is the de-facto standard for building C++ code, with over 2 million downloads a month. Cross-platform, compiler-independent build system generator. In software development, CMake is cross-platform free and open-source software for build automation, testing, packaging and installation of software by using a compiler-independent method. CMake is not a build system itself; it generates another system's build files. It supports directory hierarchies and applications that depend on multiple libraries. It is used in conjunction with native build environments such as Make, Qt Creator, Ninja, Android Studio, Apple's Xcode, and Microsoft Visual Studio. It has minimal dependencies, requiring only a C++ compiler on its own build system.

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nanonets.com
Intelligent document processing with AI | Nanonets
AI-based intelligent document processing with Nanonets' self-learning OCR. Automate data capture from invoices, receipts, passports, ID cards & more!

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pythonprogramming.net
Python Programming Tutorials
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.

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pjreddie.com
Survival Strategies for the Robot Rebellion
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pytorch.org
PyTorch
An open source machine learning framework that accelerates the path from research prototyping to production deployment. Open source machine learning library. PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is free and open-source software released under the modified BSD license.

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tensorflow.org
TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources. Machine learning software library. TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.TensorFlow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released the updated version of TensorFlow, named TensorFlow 2.0, in September 2019.TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java. This flexibility lends itself to a range of applications in many different sectors.

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machinelearningmastery.com
Machine Learning Mastery
Making developers awesome at machine learning.

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fast.ai
fast.ai - fast.ai—Making neural nets uncool again
fast.ai - fast.ai—Making neural nets uncool again Nonprofit research group. fast.ai is a non-profit research group focused on deep learning and artificial intelligence. It was founded in 2016 by Jeremy Howard and Rachel Thomas with the goal of democratizing deep learning. They do this by providing a massive open online course (MOOC) named "Practical Deep Learning for Coders," which has no other prerequisites except for knowledge of the programming language Python.

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paperswithcode.com
The latest in Machine Learning | Papers With Code
Papers With Code highlights trending Machine Learning research and the code to implement it.

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techtutorialsx.com
techtutorialsx - Lots of programming, IoT and technology tutorials
Lots of programming, IoT and technology tutorials

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fritz.ai
WordPress Block Theme for Agencies and Small Businesses - Fritz ai
WordPress Block Theme for Agencies and Small Businesses - Fritz ai Austrian graphic artist and painter. Fritz Aigner (July 13, 1930 â€“ January 9, 2005) was an Austrian graphic artist and painter.

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scikit-learn.org
scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation
scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation

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becominghuman.ai
Becoming Human: Artificial Intelligence Magazine
Latest News, Info and Tutorials on Artificial Intelligence, Machine Learning, Deep Learning, Big Data and what it means for Humanity.

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analyticsvidhya.com
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scipy.org
SciPy
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.

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bogotobogo.com
Open Source: 2021 - Python/Docker/Kubernetes/DevOps/BigData/Machine Learning/
Open Source with Python/Docker/Kubernetes/DevOps/BigData/Machine Learning/

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matplotlib.org
Matplotlib — Visualization with Python
Matplotlib — Visualization with Python

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numpy.org
NumPy
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.

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nkmk.me
nkmk.me

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opencvexamples.blogspot.com
Learn OpenCV by Examples
A good guide for beginners to learn OpenCV with a lot of example codes. Tutorials implementing different computer vision algorithms are also provided.

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kdnuggets.com
Data Science, Machine Learning, AI & Analytics - KDnuggets
Data Science, Machine Learning, AI & Analytics

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pillow.readthedocs.io
Pillow (PIL Fork) 9.5.0 documentation
Pillow is the friendly PIL fork by Jeffrey A. Clark (Alex) and contributors. PIL is the Python Imaging Library by Fredrik Lundh and contributors. Pillow for enterprise is available via the Tidelift...

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cv-tricks.com
CV-Tricks.com - Learn Machine Learning, AI & Computer vision
Learn Machine Learning, AI & Computer vision

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kaggle.com
Kaggle: Your Machine Learning and Data Science Community
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Internet platform for data science competitions. Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle was first launched in 2010 by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and Artificial Intelligence education. Its key personnel were Anthony Goldbloom and Jeremy Howard. Nicholas Gruen was the founding chair succeeded by Max Levchin.

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nips.cc

Machine learning and computational neuroscience conference. The Conference and Workshop on Neural Information Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held every December. The conference is currently a double-track meeting (single-track until 2015) that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts.

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anaconda.org
Just a moment...

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