junli-galios Goto Github PK

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

glow

Implementation of Glow in PyTorch

gpm

Official Code Repository for "Gradient Projection Memory for Continual Learning"

hyperbolic_nn

Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112

hyrnn

Hyperbolic Neural Networks, pytorch

jem

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

junli-galios.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

monotone_op_net

Monotone operator equilibrium networks

optimization-on-stiefel-manifold-via-cayley-transform

Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform

pggan

Adversarial Generation of Extreme Samples

powerdiagram

pytorch-template

repel

Probabilistic Event Logic

scones

Sinkhorn COnditional NEural Sampling

short_run

stochastic-gradient-descent-for-matrix-factorization-on-spark

Implementation of Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent (DSGD-MF) in Apache Spark.

timestampactionseg

tvo

Code for the Thermodynamic Variational Objective

unsup_temp_embed_alternating

Official implementation of the paper: Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

vrbound

code release for the NIPS 2016 paper

wasserstein2benchmark

A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)