zlpsophina Goto Github PK

2021-cv-surveys

2021 年，计算机视觉相关综述。包括目标检测、跟踪........

ad-dl

Framework for the reproducible classification of Alzheimer's disease using deep learning

ad-dl-1

Classification of Alzheimer's disease status with convolutional neural networks.

adaptive-dynamic-functional-connectivity

The code of “Deep Spatial-Temporal Feature Fusion from Adaptive Dynamic Functional Connectivity for MCI Classification”

adv_ecg

Code for Adversarial Examples in Electrocardiograms

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-machine-learning-resources

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

barlowtwins

PyTorch implementation of Barlow Twins.

bnn-ann-papers

Papers : Biological and Artificial Neural Networks

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

brainageing

This is the project about simulating the ageing brain.

cam

Class Activation Mapping

cebra

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

cnn-interpretability

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

conditionalvae

Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset

convnetdraw

Draw multi-layer neural network in your browser

convolutionalsparsecoding

cvae_vae

daily_fudan

一键平安复旦小脚本，自动化快速上报疫情

dcafuse

Feature fusion using Discriminant Correlation Analysis (DCA)

dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

deepbrainnet

Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanning different studies, scanners, ages, ethnicities and geographic locations around the world.

delight

DeLighT: Very Deep and Light-Weight Transformers

discrete-choice-models

Multinomial logit, Nested logit, Mixed logit and Latent class models

dtreeviz

A python library for decision tree visualization and model interpretation.

external-attention-pytorch

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

hexagan

HexaGAN: Generative Adversarial Nets for Real World Classification

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning