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📚 Freely available programming books
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to an…
For recording and retrieving metadata associated with ML developer and data scientist workflows.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi
🎆Interactive Online Platform that Visualizes Algorithms from Code
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
this repository accompanies the book "Grokking Deep Learning"
Python package for stacking (machine learning technique)
Hierarchical Event Descriptor (HED) Tags and related tools.
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Sample code for the Effective Modern C++ book by Scott Meyers.
A curated list of awesome Deep Learning tutorials, projects and communities.
Repository with code and slides for a tutorial on causal inference.
Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.
long-term blood pressure prediction with deep recurrent neural networks
✨Fast Coreference Resolution in spaCy with Neural Networks
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
libRocket - The HTML/CSS User Interface library
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
Unminified code for EDF viewer. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.