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dCSFA-NMF contains pytorch code for Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Leet Code 刷题笔记 - - 不求最快最省，但求最短最优雅，Shorter is better here.

Awesome Multi-label Image Recognition Paper List

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

A pytorch package for non-negative matrix factorization.

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

Deep Feature Factorization For Concept Discovery + deep semi-NMF

Python code for algorithm and complexity

Deep Autoencoder-like NMF

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

深度矩阵分解模型 与 带注意力的深度矩阵分解模型

Non-negative Matrix Factorization (NMF) Tensorflow Implementation

My experiment of multilayer NMF, a deep neural network in which the first several layers take Semi-NMF as its pseudo-activation-function that finds the latent sturcture embedding in the original da…