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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

Piotr Niedzwiedz, 10 min
By now, everyone must have seen THE MLOps paper. “Machine Learning Operations (MLOps): Overview, Definition, and Architecture” By Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl Great stuff. If you haven’t read it yet, definitely do so. The authors give a solid overview of: They tackle the ugly problem in the canonical MLOps movement: How do all…
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Best MLOps Tools For Your Computer Vision Project Pipeline

by Akruti Acharya, 10 min read
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Segmenting and Colorizing Images in IOS App Using Deoldify and Django API

by Aymane Hachcham, 11 min read
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Create a Face Recognition Application Using Swift, Core ML, and TuriCreate

by Aymane Hachcham, 8 min read
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Top Tools to Run a Computer Vision Project

by Derrick Mwiti, 7 min read
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Applications of AI in Drone Technology: Building Machine Learning Models That Work on Drones (With TensorFlow/Keras)

by Brain John, 6 min read
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TensorFlow Object Detection API: Best Practices to Training, Evaluation & Deployment

by Anton Morgunov, 13 min read
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Understanding Few-Shot Learning in Computer Vision: What You Need to Know

by Vladimir Lyashenko, 8 min read
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Lossless Data Compression Using Arithmetic Encoding in Python and Its Applications in Deep Learning

by Ahmed Gad, 11 min read
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Dive Into Football Analytics With TensorFlow Object Detection API

by Elisha Odemakinde, 9 min read
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Image Classification: Tips and Tricks From 13 Kaggle Competitions (+ Tons of References)

by Prince Canuma, 4 min read
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Image Processing in Python: Algorithms, Tools, and Methods You Should Know

by Neetika Khandelwal, 9 min read
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What Image Processing Techniques Are Actually Used in the ML Industry?

by Ehi Aig, 5 min read
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