A curated list of resources dedicated to federated learning.

An ultra-simplified explanation to design patterns

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

Simple flask example for quick prototypes and small applications

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Data Science Resources (Mostly Free)

Learning to rank with neuralnet - RankNet and ListNet

Python implementation of Reinforcement Learning: An Introduction

jQuery tags input plugin based on Twitter Bootstrap 4

TensorFlow Tutorial and Examples for Beginners with Latest APIs

Keras implementation of a Siamese Neural Network for Joint Multimodal Text-Image Embedding

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch