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A launch point for your personal nvim configuration
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A huge list of alternatives to Google products. Privacy tips, tricks, and links.
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
Labs for the Designing Distributed Systems book.
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Preparation links and resources for system design questions
System design interview for IT companies
A learning rate range test implementation in PyTorch
Road selection on a map with Overpass and Leaflet
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A technical report on convolution arithmetic in the context of deep learning
Quill is a modern WYSIWYG editor built for compatibility and extensibility
Image Enhancement and Object Recognition for Night Vision Surveillance
🔗 Some useful websites for programmers.
A complete computer science study plan to become a software engineer.
Example code for enclosing points in an elipsoid
Functional Programming Presentation in Python Meetup #13
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
command-line football (soccer) livescore and *news for linux/mac user