kfzyqin Goto Github PK

acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)

adversarial-autoencoder

An adversarial autoencoder implementation in pytorch

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

ai-idea-implementations

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

algorithms

The implementation of the algorithms

angular-chart.js

Reactive, responsive, beautiful charts for AngularJS using Chart.js: http://jtblin.github.io/angular-chart.js

angular-skeleton-encoding

Sourcecode for the TNNLS 2022 paper: Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

automated-essay-grading

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

baseline

Strong Deep-Learning Baseline algorithms for NLP

beta-vae

Pytorch implementation of β-VAE

beta-vae-1

A Pytorch Implementation of the Beta-VAE

bilibili-api

B站API收集整理及开发，测试【开发中】

capsule-net-pytorch

A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule-networks-1

A Tensorflow implementation of Capsule Networks

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

ccm-aae

Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)

chart.js

Simple HTML5 Charts using the <canvas> tag

chyvae

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations

cogan

condgen

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

dare

DARE: Deception Analysis and Reasoning Engine

dcgan

Deep Convolutional Generative Adversarial Networks based on TensorFlow / TensorLayer

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-ai-blog

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.