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tyleransom.github.io

Repository for Tyler Ransom's academic research website.

KANGKANG DENG's Projects

a2dr icon a2dr

Anderson accelerated Douglas-Rachford splitting

adabound icon adabound

An optimizer that trains as fast as Adam and as good as SGD.

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

arnt icon arnt

Adaptive Regularized Newton Method for Riemannian Optimization

ascca icon ascca

Trace Lasso Regularization for Adaptive Sparse Canonical Correlation Analysis via Manifold Optimization Approach

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

bdpr icon bdpr

Blind Deconvolutional Phase Retrieval

ccsc_code_iccv2017 icon ccsc_code_iccv2017

This is the source code repository for the ICCV 2017 paper "Consensus Convolutional Sparse Coding".

dadam icon dadam

DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization

deep_learning icon deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

deeplearning icon deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

dengkk.github.io icon dengkk.github.io

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

dictol icon dictol

DICTOL - A Dictionary Learning Toolbox in Matlab

dpcp icon dpcp

Dual principal component pursuit

dprc_code icon dprc_code

A Discriminative Projection and Representation-Based Classification Framework for Face Recognition

estimate_sequences icon estimate_sequences

Code for the ICML 2019 paper "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization"

exprnn icon exprnn

Code to reproduce the NeurIPS 2019 paper "Trivializations for Gradient-Based Optimization on Manifolds" and the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"

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