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canonicalflows

Canonical normalizing flows

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepclustering

Deep Clustering

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

factorgcn.pytorch

Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20

forpy

Forpy - use Python from Fortran

generalized-readout-phase

This is the code for the PrePrint "Improving Graph Property Prediction with Generalized Readout Functions"

maf

Masked Autoregressive Flow

sdcn

Structural Deep Clustering Network

selfnormalizingflows

som-vae

TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

taylor-net

tensorflow-cookbook

Simple Tensorflow Cookbook for easy-to-use

timeseries_clustering

tinker-hp

Tinker-HP: High-Performance Massively Parallel Evolution of Tinker on CPUs & GPUs

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

ucr_time_series_classification_deep_learning_baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

vthcl

[arXiv 2020] Video Representation Learning with Visual Tempo Consistency