Name: Yuhang Song
Type: User
Company: University of Oxford
Bio: J.P. Morgan AI Research Fellow, Ph.D. from University of Oxford. My research is to decipher and extract the learning principles of biological neural systems.
Location: Oxford, UK
Blog: https://sites.google.com/view/yuhangsong/
Yuhang Song's Projects
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
aaai gtn
China, BeiHang, Feng Ru Cup
Baselines for MultiAgent Systems
Docky themes for use with the Arc-Dark theme suite
The Arcade Learning Environment (ALE) -- a platform for AI research.
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Some personal basic setup on computing environment.
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Implemention of CapsNet from the paper Dynamic Routing Between Capsules
Inferring and Executing Programs for Visual Reasoning
Open Clovis code for external developers who want to work with us
A technical report on convolution arithmetic in the context of deep learning
Guidelines for setting up a deep learning server.
Curriculum Vitae: Yuhang Song
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
PQC paper accepted by DCC 2017.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"