Pinned Repositories
AI-vs-BW
Bures-Barycenters
CDFL
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
Contextual-Transformation-Network
CP-Flow
Convex potential flows
deq
[NeurIPS'19] Deep Equilibrium Models
dtn
enorm
Equi-normalization of Neural Networks
flow-based-CoopNets
Optimization-on-Stiefel-Manifold-via-Cayley-Transform
Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
JunLi-Galios's Repositories
JunLi-Galios/CDFL
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
JunLi-Galios/Optimization-on-Stiefel-Manifold-via-Cayley-Transform
Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
JunLi-Galios/AI-vs-BW
JunLi-Galios/Bures-Barycenters
JunLi-Galios/Contextual-Transformation-Network
JunLi-Galios/CP-Flow
Convex potential flows
JunLi-Galios/deq
[NeurIPS'19] Deep Equilibrium Models
JunLi-Galios/dtn
JunLi-Galios/enorm
Equi-normalization of Neural Networks
JunLi-Galios/flow-based-CoopNets
JunLi-Galios/glow
Implementation of Glow in PyTorch
JunLi-Galios/GPM
Official Code Repository for "Gradient Projection Memory for Continual Learning"
JunLi-Galios/hyperbolic_nn
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
JunLi-Galios/hyrnn
Hyperbolic Neural Networks, pytorch
JunLi-Galios/JEM
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
JunLi-Galios/JunLi-Galios.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
JunLi-Galios/monotone_op_net
Monotone operator equilibrium networks
JunLi-Galios/PGGAN
Adversarial Generation of Extreme Samples
JunLi-Galios/PowerDiagram
JunLi-Galios/pytorch-template
JunLi-Galios/repel
Probabilistic Event Logic
JunLi-Galios/scones
Sinkhorn COnditional NEural Sampling
JunLi-Galios/short_run
JunLi-Galios/Stochastic-Gradient-Descent-for-Matrix-Factorization-on-spark
Implementation of Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent (DSGD-MF) in Apache Spark.
JunLi-Galios/TimestampActionSeg
JunLi-Galios/tvo
Code for the Thermodynamic Variational Objective
JunLi-Galios/unsup_temp_embed_alternating
Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)
JunLi-Galios/VRbound
code release for the NIPS 2016 paper
JunLi-Galios/Wasserstein2Benchmark
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)