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python

All Algorithms implemented in Python

qlearning_matlab

Some basic exercises and algorithms of Reinforcement learning, including Feed Forward, Backpropagation, Gradient descent etc.

reactome2py

python client for reactome content, analysis, and human functional protein interactions (FI) services api calls.

reinforcementlearning_football

researchproject_ai_ethics

robinsnest

Web programming project

roland

roland-river

Implementation of the ROLAND: Graph Learning Framework for Dynamic Graphs suitable to integrate into River

sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

softwareengineering

Course materials from the University classes of Introduction to Software Engineering

swiftmlplayground

Implementation of some machine learning algorithms in Swift 4.2 in XCode 10 on the Iris dataset

tensorflowsharp

TensorFlow API for .NET languages

transferlearning

Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task. It is a popular approach in deep learning where pre-trained models are used as the starting point on computer vision and natural language processing tasks given the vast compute and time resources required to develop neural network models on these problems and from the huge jumps in skill that they provide on related problems.

wordembeddings

The word2vec algorithm finds much more efficient representations by finding vectors that represent the words. These vectors also contain semantic information about the words. Words that show up in similar contexts, such as "black", "white", and "red" will have vectors near each other. There are two architectures for implementing word2vec, CBOW (Continuous Bag-Of-Words) and Skip-gram.

x-inf573-image_impainting

yolo_open_images

yolov3 with SPP weights pretrained on Open Images dataset along with config files

yolocoreml

Trial implementation of the YOLOv3 algorithm in Swift. Still work in progress :)