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proximal-pannet

This is the code of "Proximal PanNet: A Model-based Deep Network for Pansharpening"

pylightgbm

Python binding for Microsoft LightGBM

pywt

PyWavelets - Wavelet Transforms in Python

sbmf

codes for SBMF

scikit-tensor

Python library for multilinear algebra and tensor factorizations

semi-supervised-learning

Notes and codes of the topic "Semi-supervised learning"

ship

An open package for supervised hyperspectral image classification task.

spectral

Python module for hyperspectral image processing

squeezeseg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

srflow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

stick-breaking_dgms

Deep Generative Models with Stick-Breaking Priors

supertopicmodels

Supervised Latent Dirichlet Allocation and other topic models. Supports regression and classification. Written in Matlab.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorlayer

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

test1

This is test files.

test2

Test2_CO

text_mining_resources

Resources for learning about Text Mining

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tfdsunet

TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

titanic

Kaggle contest: Titanic

torchdiffeq

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

triple-gan

Triple-GAN: a unified framework for classification and class-conditional generation in SSL

trq3dnet

ufldl-tutorial-solutions

This is the solutions of UFLDL Tutorial.

vae_cf

Variational autoencoders for collaborative filtering

vae_renyi_divergence

A tensorflow implementation of VAE training with Renyi divergence

variational-autoencoder

Implementation of a variational Auto-encoder

variational-em-for-community-detection

This is an implementation of variational EM algorithm for community detection in attributed network.