Yuanhanqing Huang's repositories
gnn_hierarchical_pooling
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
rollout-etc-switched-sys
The control of double inverted pendulum on a cart by using rollout event-trigger control strategy
mini_transformer
The implement of Universal Transformer model with translation task. This project is a simplified version of Tensor2Tensor with TensorFlow Eager.
CVX
A MATLAB system for disciplined convex programming
cvxpy
A Python-embedded modeling language for convex optimization problems.
destructive-deep-learning
Destructive deep learning estimators and functions that are compatible with scikit-learn.
disropt
DISROPT: a python framework for distributed optimization
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
gcn_metric_learning
Metric Learning with Graph Convolutional Neural Networks
GenericObjectDecoding
Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.
graph_nets
Build Graph Nets in Tensorflow
GSP_StructuralDecouplingIndex
Code to compute and test structural decoupling index (Preti & Van De Ville 2019)
MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
odes-monoton-inclu
Solve monotone inclusions using continuous-time dynamics.
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
pygcn
Graph Convolutional Networks in PyTorch
pyro
Deep universal probabilistic programming with Python and PyTorch
spectralGraphTopology
Learning Graphs from Data via Spectral Constraints for k-component, bipartite, and k-component bipartite graphs
ssfmri2im
Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
youtube-dl
Repository with the code of youtube-dl