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Pocket Flow: Codebase to Tutorial
A collection of (mostly) technical things every software developer should know about
A curated list of engineering blogs
😎 Awesome lists about all kinds of interesting topics
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Master programming by recreating your favorite technologies from scratch.
🦀 Small exercises to get you used to reading and writing Rust code!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A unified framework for machine learning with time series
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
A toolkit for machine learning from time series
Bayesian Modeling and Probabilistic Programming in Python
Machine Learning Toolkit for Kubernetes
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs
An ultra-simplified explanation to design patterns
Contains all important data structure and algorithms problems asked in interviews
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A curated list of awesome Machine Learning frameworks, libraries and software.
A variety of algorithms to solve mazes from an input image
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Seamless operability between C++11 and Python