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ali-pytorch

PyTorch implementation of Adversarially Learned Inference (BiGAN).

analyzing_explainers_code

This is the code for the publication titled "Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions" at AISTATS'24.

ariclustmd

biosppy

Biosignal Processing in Python

cogspaces

Leveraging multiple fMRI studies to predict cognitive states from brain maps.

dec

deep-representations-clustering

This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".

deepclustering

gui_basic

hacks

A collection of code, snippets and stuff thats not quite there yet....

matlab

mifs_forked

Parallelized Mutual Information based Feature Selection module.

mmd-gan

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ntfa_degeneracy

pybhc

Bayesian Hierarchical clustering in python

pywt

PyWavelets - Wavelet Transforms in Python

qrs_detector

Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm

simulated_degeneracy_data

Contains data for degeneracy paper with ntfa

stsc

Self-Tuning Spectral Clustering Python

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

wvi_pytorch

This is an (unofficial) pytorch implementation of Wasserstein Variational Inference based on https://arxiv.org/abs/1805.11284