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Documentation and Developer resources for Layer5 products
Layer5, expect more from your infrastructure
An Engine-Agnostic Deep Learning Framework in Java
VIP cheatsheets for Stanford's CS 229 Machine Learning
A repository of links with advice related to grad school applications, research, phd etc
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Fast and flexible physics-based battery models in Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
C++ Syntax, Data Structures, and Algorithms Cheat Sheet
A complete computer science study plan to become a software engineer.
an awesome list of decentralized services and technologies
filters, backends, driverless utility, ... - Everything which CUPS 2.x needs to be used on non-Mac systems
A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.
📚 Freely available programming books
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
✅ Curated list of resources for college students