Links

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• StrataHive: We provide niche Consulting & Training Services in the growing arena of Artificial Intelligence (AI) , Machine Learning (ML) & Advanced Analytics https://stratahive.com/

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• AI on Edge: https://github.com/Azure-Samples/
• AI Edge Engineer: https://techcommunity.microsoft.com/t5/educator-developer-blog/becoming-an-ai-edge-engineer-with-microsoft-learn-tv-special/ba-p/1746644 or https://startup.jobs/edge-ai-platform-engineer-at-nauto or https://www.datasciencecentral.com/profiles/blogs/the-ai-edge-engineer-extending-the-power-of-ci-cd-to-edge-devices or https://startup.jobs/edge-ai-platform-engineer-at-nauto or https://docs.microsoft.com/en-us/learn/paths/ai-edge-engineer/

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• AI Embedded Engineer: https://tryolabs.com/blog/machine-learning-on-edge-devices-benchmark-report/

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PyTorch and LibTorch:

• Model Serving on PyTorch: https://github.com/pytorch/serve
• C++ extensions in PyTorch: https://github.com/pytorch/extension-cpp
• C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now: https://github.com/AllentDan/LibtorchDetection

[mheriyanto]

Course 2021:

• MIT Introduction to Deep Learning | 6.S191 https://www.youtube.com/watch?v=njKP3FqW3Sk

[mheriyanto]

Good Website

• https://www.deeplearningwizard.com/
• http://www.d2l.ai/

[mheriyanto]

PyTorch Implementation Books

• Modern Computer Vision with PyTorch | Web: https://www.packtpub.com/product/modern-computer-vision-with-pytorch/9781839213472 | GitHub: https://github.com/PacktPublishing/Modern-Computer-Vision-with-PyTorch

[mheriyanto]

Self-Driving Car:

• https://github.com/experiencor/self-driving-toy-car

[mheriyanto]

PodCast

• Indonesia StartUp > Startup Hour by StartupIndonesia: StartupIndonesia https://open.spotify.com/show/0jIz5Q3Bm2y7IO3XsQSBFO

[mheriyanto]

• GoF Design Patterns with "Real-World" examples involving Food-Related Businesses and mock dependencies https://github.com/wesdoyle/design-patterns-explained-with-food

[mheriyanto]

PyTorch Book:

• xxxx (xxx, 2018. Packt): [Book]() | [GitHub]()
• Deep Learning with PyTorch Step-by-Step: https://github.com/dvgodoy/PyTorchStepByStep

PyTorch Mobile Book:

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TensorFlow Book: https://github.com/jtoy/awesome-tensorflow#books

• xxxx (xxx, 2018. Packt): [Book]() | [GitHub]()

TensorFlow Lite Book:

• Bla-bla

[mheriyanto]

C++:

• The C++ Conference: https://github.com/CppCon
• A C++ header-only HTTP/HTTPS server and client library: https://github.com/yhirose/cpp-httplib
• [UNIT TEST] A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD: https://github.com/catchorg/Catch2

Python:

[mheriyanto]

Feature Bests:

• https://replit.com/@yhirose/cpp-httplib-server

[mheriyanto]

DevOps:

• Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow (Hannes Hapke, 2020. O'Reilly): Book | [GitHub]()
• Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Valliappa Lakshmanan, 2020. O'Reilly): Book | [GitHub]()
• Introducing MLOps: How to Scale Machine Learning in the Enterprise (Mark Treveil. 2020. O'Reilly): Book

[mheriyanto]

Tool Links:

• https://modelzoo.co/
• A simple command-line utility for querying and monitoring GPU status: https://github.com/wookayin/gpustat
• Rubrix: Open-source tool for exploring, labeling, and monitoring data for AI projects: https://github.com/recognai/rubrix

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Communities:

• Open Neural Network Exchange: https://github.com/onnx

[mheriyanto]

Conferences:

• ~AAAI: https://aaai.org/Conferences/conferences.php~

[mheriyanto]

Awesome Repos:

• ~Machine Learning Interviews from FAAG, Snapchat, LinkedIn: https://github.com/khangich/machine-learning-interview~
• Machine Learning Collection: https://github.com/aladdinpersson/Machine-Learning-Collection

[mheriyanto]

Dashboard:

• AR & VR