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30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

d2l-zh-pytorch-slides

Pytorch版代码幻灯片

deeplearning-architectures

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

densepoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

eeg-dcgan

To generate artificial EEG data

eeg-emotion-classification

eeg_classification

Implementing different deep learning architecture using pyTorch to classify EEG signals.

eeg_gan-master

face-landmark-localization

cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).

facemesh.pytorch

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

facial-expression-recognition

Facial expression classification using salient pattern driven integrated geometric and textual features

facial_106_landmarks

Facial_106_Landmarks

graph-cnn-in-3d-point-cloud-classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

ltp

Language Technology Platform

merge-ply

合并多个点云.ply文件

model-converter-python

Mirror of model-converter-python

obj2ply

Complete conversion of object files to ply files with color encdoing as well as uv coordiantes.

paper-reading-limu

深度学习经典、新论文逐段精读

pfld_106_face_landmarks

106点人脸关键点检测的PFLD算法实现

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pytorch_classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

pytorch_geometric

Graph Neural Network Library for PyTorch

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

seizure-detection-using-cnn-on-eeg-data

Electroencephalogram(EEG) benchmark dataset Chb-mit is used for seizure detection.

senet-pytorch

test-

项目描述