Pinned Repositories
atom
:atom: The hackable text editor
CLRS
Some exercises and problems in Introduction to Algorithms 3rd edition.
doodle
Just smell a little better than trash ...
DRD
DRD model described in Wu et.al, 2014
gnn_hierarchical_pooling
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
mini_transformer
The implement of Universal Transformer model with translation task. This project is a simplified version of Tensor2Tensor with TensorFlow Eager.
neurosynth_metaanalysis
rollout-etc-switched-sys
The control of double inverted pendulum on a cart by using rollout event-trigger control strategy
textsum_tensorflow_usr
This is a practice project based on seq2seq with attention mechanism to realize text summarization task. It is adapted from tensorflow/models/research/textsum/.
murphyyhuang's Repositories
murphyyhuang/gnn_hierarchical_pooling
Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
murphyyhuang/rollout-etc-switched-sys
The control of double inverted pendulum on a cart by using rollout event-trigger control strategy
murphyyhuang/CLRS
Some exercises and problems in Introduction to Algorithms 3rd edition.
murphyyhuang/doodle
Just smell a little better than trash ...
murphyyhuang/mini_transformer
The implement of Universal Transformer model with translation task. This project is a simplified version of Tensor2Tensor with TensorFlow Eager.
murphyyhuang/neurosynth_metaanalysis
murphyyhuang/CVX
A MATLAB system for disciplined convex programming
murphyyhuang/cvxpy
A Python-embedded modeling language for convex optimization problems.
murphyyhuang/destructive-deep-learning
Destructive deep learning estimators and functions that are compatible with scikit-learn.
murphyyhuang/disropt
DISROPT: a python framework for distributed optimization
murphyyhuang/distributed-opt-global-coupling
murphyyhuang/distributed-opt-playground
murphyyhuang/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
murphyyhuang/EstelleHuang666.github.io
murphyyhuang/gcn_metric_learning
Metric Learning with Graph Convolutional Neural Networks
murphyyhuang/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.
murphyyhuang/gradient_analysis
murphyyhuang/graph_nets
Build Graph Nets in Tensorflow
murphyyhuang/GSP_StructuralDecouplingIndex
Code to compute and test structural decoupling index (Preti & Van De Ville 2019)
murphyyhuang/MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
murphyyhuang/odes-monoton-inclu
Solve monotone inclusions using continuous-time dynamics.
murphyyhuang/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
murphyyhuang/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
murphyyhuang/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
murphyyhuang/pygcn
Graph Convolutional Networks in PyTorch
murphyyhuang/pyro
Deep universal probabilistic programming with Python and PyTorch
murphyyhuang/spectralGraphTopology
Learning Graphs from Data via Spectral Constraints for k-component, bipartite, and k-component bipartite graphs
murphyyhuang/ssfmri2im
Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"
murphyyhuang/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
murphyyhuang/youtube-dl
Repository with the code of youtube-dl