Pinned Repositories
DG-MVL
Generalzied divergence-guided multi-view learning
GJRD
The generalized Jensen-Renyi's divergence (GJRD), serving as a robust tool for estimating the divergence between multiple distributions, is introduced to handle machine learning problems involving data from multiple distributions or sources. This work specifies GJRD-based deep clustering as a case study.
ATM
Maximum Density Divergence for Domain Adaptation, TPAMI 2020, Code release, Cross-domain Adversarial Tight Match
bayes-treed-cde
Performs Bayesian conditional density estimation using a tree structure and logistic Gaussian processes.
BCT
The Brain Connectivity Toolbox: https://sites.google.com/site/bctnet/
bctpy
brain connectivity toolbox for python
clustering
dec-pytorch
Domain-generalization
All about domain generalization
DomainBed
DomainBed is a suite to test domain generalization algorithms
LMFLRB's Repositories
LMFLRB/DG-MVL
Generalzied divergence-guided multi-view learning
LMFLRB/GJRD
The generalized Jensen-Renyi's divergence (GJRD), serving as a robust tool for estimating the divergence between multiple distributions, is introduced to handle machine learning problems involving data from multiple distributions or sources. This work specifies GJRD-based deep clustering as a case study.
LMFLRB/pykan
Kolmogorov Arnold Networks
LMFLRB/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
LMFLRB/MSDA-with-processed-data
Code for Multi-Source Domain Adaptation with data pre-processed with resnet.
LMFLRB/GCSD-GJRD-with-processed-data
Use Resnet to preprocess the image data and then embedding the feature using much shallow networks to handle complex data. If data has been preprocessed, load the extracted features directly.
LMFLRB/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
LMFLRB/DomainBed
DomainBed is a suite to test domain generalization algorithms
LMFLRB/GCSD-GJRD
LMFLRB/Domain-generalization
All about domain generalization
LMFLRB/xfer
Transfer Learning library for Deep Neural Networks.
LMFLRB/bctpy
brain connectivity toolbox for python
LMFLRB/mixstyle-release
Domain Generalization with MixStyle (ICLR'21)
LMFLRB/tk-uco
LMFLRB/wave_clus
A fast and unsupervised algorithm for spike detection and sorting using wavelets and super-paramagnetic clustering
LMFLRB/Kilosort
Fast spike sorting with drift correction for up to a thousand channels
LMFLRB/FGSM
https://github.com/1Konny/FGSM.git
LMFLRB/LMFLRB
Config files for my GitHub profile.
LMFLRB/clustering
LMFLRB/yass
YASS: Yet Another Spike Sorter
LMFLRB/BCT
The Brain Connectivity Toolbox: https://sites.google.com/site/bctnet/
LMFLRB/Road2Filter
滤波器设计之路（The road to filter-design, including FIR, IIR, sinc, Butterworth, etc.）
LMFLRB/pt-dec
PyTorch implementation of DEC (Deep Embedding Clustering)
LMFLRB/nemenyi
Post-hoc Nemenyi test for algorithm statistical comparison.
LMFLRB/ATM
Maximum Density Divergence for Domain Adaptation, TPAMI 2020, Code release, Cross-domain Adversarial Tight Match
LMFLRB/stable-dynamics-models
PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models), with extensions to controlled dynamical systems.
LMFLRB/stable_dynamics
Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
LMFLRB/spike_sorting
Python implementation of signal processing techniques and K-means clustering to sort spikes.
LMFLRB/WeightReg
Code for "Adaptive-Weighting Discriminative Regression for Multi-View Classification" in Pattern Recognition
LMFLRB/RealNVP-with-PyTorch
Real-valued non-volume preserving(RealNVP) implementation with PyTorch