PortAISociety

Academia

In this repository you will find a good amount of free resources to learn about artificial intelligence, machine learning and other related areas

dtree-demo-2019

Decision Tree demo for Student Conference

bert

TensorFlow code and pre-trained models for BERT

Decision_Trees_Halite

Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

msgGeneratorRNN

Code used for the Artificial Intelligence Society Presentation at UOP-2018/11

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

Tensorflow_House_Training

polyrnn-pp-pytorch

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

portaisociety.github.io

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

art-DCGAN

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

demo-suite

Suite of Demos for the Portsmouth Artificial Intelligence & Robotics Society

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

nlp-semantic-analysis

PyChat

PythonRobotics

Python sample codes for robotics algorithms.

silent_speech_asr

Code for voicing silent speech from EMG. Official repository for the papers "Digital Voicing of Silent Speech" at EMNLP 2020 and "An Improved Model for Voicing Silent Speech" at ACL 2021.