hellopari Goto Github PK

aboutvue

vue practical operation

aggregated_wasserstein_hmm

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

bayesianneuralnetwork

a repo sharing Bayesian Neural Network recent papers

bnpy

Bayesian nonparametric machine learning for Python

bybo

简单创业BYBO

design-mode

design-mode study note

ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

eeg-p300speller-toolkit

Implemented an EEG processing toolkit; an Ensemble SVM; a stacked RNN and CNN.

fast-vmfmm

accelerated variational VMF Mixture Model

git-for-distingush

google-research

Google Research

hmm_aw

i18international

imylu

Pure Python implementation of machine learning algorithms

interview

save some temp file for interview

is-component

kdtree

A Python implementation of a kd-tree

matlab-hmm

Open source HMM toolbox, with Discrete-HMM, Gaussian-HMM, GMM-HMM. (matlab)

react-study

studyweback

study weback

temporal_fusion_transformer_pytorch

testapi

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

use_for_distinct

variational_np_bmm

The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i-vector data" and "Comparison of Non-parametric Bayesian Mixture Models for Zero-Resource Speech Processing", submitted.

vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"