azhengzhou

A-to-Z-Resources-for-Students

Curated list of resources for college students

Image-Denoising-using-Deep-Learning

AgeGenderDeepLearning

cnnshapes

Visualizing intermediate activation in Convolutional Neural Networks with Keras

Code

ConsistentGraphLearning

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Deep-Subspace-Clustering

Description pending...

Deep-subspace-clustering-networks

DeepClustering

Methods and Implements of Deep Clustering

DeepHash-Papers

Must-read papers on deep learning to hash (DeepHash)

DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

DetNet_pytorch

An implementation of DetNet: A Backbone network for Object Detection.

gmc

GMC: Graph-based Multi-view Clustering (IEEE TKDE)

Image-classification-using-CNN-Vgg16-keras

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-texture

tf.keras framework for deep texture recognition & fine-grained image classification models

LinearStyleTransfer

This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

Multi-view-LRSSC

Matlab implementation of multi-view low-rank sparse subspace clustering

Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Neural-Style-Transfer-Papers

:pencil2: Neural Style Transfer: A Review

OCSC

Code for "Online convolutional sparse coding (TIP 2018)".

pic

Spectral Perturbation Meets Incomplete Multi-view Data

S5C

Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')

SoftKMeans

Implementation of Deep Soft-K means

Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

spectral-density

Hessian spectral density estimation in TF and Jax

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tf_classification

Training, evaluation and testing code for image classification using TensorFlow

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch