Maha Almaimani's repositories
cascaded-regression-chinese
定位综述 目前用于人脸定位的有两种主流方法，一种是基于级联形状回归模型，另一种就是基于深度学习的方法。级联形状回归方法就是使用回归模型，直接学习从人脸表征到人脸形状的映射函数，进而建立从表观到形状的对应关系。这种方法的学习依赖于训练集的选取，如果训练集中包含了复杂的姿态变化，学习到的函数测试性能就会比较好。现有很多基于回归的方法，其中比较突出的有颜水成的DCR（Deep Cascaded Regression）、ESR（Explicitly Shape Regression）方法、LBF（Local Binary Features）方法以及SDM（Supervised Decent Method）方法。但是，上述方法也存在一定的问题，例如，基于提取到的局部图像特征来定位时很难找到具有全局信息
CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning-Specialization
This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
image2latex
A tool to convert math equation images to LaTeX markup
3D-face-papers
Hello! Here is a collection of 3d face related papers and code implementations. Welcome to contribute.
3d-thin-plate-spline-warp
Implementation of Thin Plate Spline warping
anime_face_landmark_detection
Anime face landmark detection by deep cascaded regression
Cascaded-Shape-Regression
C++ codes for the implementation of cascaded shape regression
Classical-and-Deep-Learning-Approaches-for-Face-Swapping-using-Delaunay-Triangulation-TPS-and-PRNet
Implementation of face swapping using classical and deep learning technique.
coursera-deep-learning
Deep Learning specialization by Andrew Ng on Coursera
CS131
Personal notes and homework solutions for Stanford's CS131 Computer Vision: Foundations and Applications
CVAE_MNIST
Conditional VAE using CNN on MNIST in PyTorch
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Face-3D-Study
Face 3D Reconstruction papers or codes
face3d
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
Learn-OpenGL-in-python
All the source codes from my youtube tutorial series called "OpenGL in python".
morphops
Geometric Morphometrics in Python
neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
SDM_Marc_Challenge
Real-time Object Recognition Using Cascaded Regression (Mar's Challenge at Cinnamon AI Bootcamp 2020)
sdu-face-alignment
The MXNet Implementation of Paper: Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
sedik_theme
Portfolio Website
StatQuest
StatQuest with Josh Starmer
ThinPlateSpline-pytorch
ThinPlateSpline using pytorch
tps-3d
TPS model implemented in Python
TPS-Deformation
Thin plate spline interpolation and deformation.