We cherry-pick the most understandable explanations and definitions into one summary to summarize the content of the lecture about Machine Learning of Prof. Joachim Buhmann.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

PyTorch Implementation for Unsupervised Person Image Generation with Semantic Parsing Transformation

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

YAD2K: Yet Another Darknet 2 Keras

Materials for the "Reproducible ML with Open Source Tooling" workshop at Applied ML Days 2018.

Beginning of a test app for BLE device discovery

Automation and convenience in for setting up a S.H.M.A.C.K. stack with DC/OS on AWS

AngularJS User Registration and Login Example

iOS 7 File Browser

Deep Residual Learning for Image Recognition

This contains all the sample code in the Learning Core Audio book. See http://www.amazon.com/Learning-Core-Audio-Hands-On-Programming/dp/0321636848

A Safari extension that save your favorite websites on Delicious

Simple Objective-C wrapper for the keychain that works on Mac and iOS

Updated iOS wrapper for EN API

CoverFlow API replacement for the iPhone

CoverFlow API replacement for the iPhone