Pinned Repositories
Adaptive-Signal-Processing
Estimations and Wiener solutions; FIR filter banks based on STFT (short-time Fourier Transform ); Steepest descent and Newton method; Adaptive algorithms.
Convolutional-neural-nets-implementation
Deep learning case studies with a popular deep learning framework Tensorflow, which included contents as Softmax , AutoEncoder, Multi-Layer Preceptrons, CNN, RNN, LSTM...
cv-facial-landmarks-applications
Facial landmarks detection along with their applications (virtual makeup).
cv-facial-recognition
Recognizing human faces by OpenFace and Deep Learning methods.
cv-mask-detection
Training custom object detector using yolo v3 and v4, along with inference and deployment. (using kaggle face mask data)
cv-ocr-application
using OCR tech and case study for automatic number plate recognition.
data-scientist-explore
CRISP-DM pipeline, data wrangling, data modeling, software development, web development/data visualization, data pipeline.
multi-sensor_obstacle_fusion
Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.
optimization-in-deep-learning
Optimization algorithms commonly used in deep learning, mini-batch GD, SGD, and momentum methods AdapGrad, Adam... advanced methods Newton, quasi-Newton, L-BFGS...
probabilistic-machine-learning
Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...
vince-CV's Repositories
vince-CV/multi-sensor_obstacle_fusion
Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.
vince-CV/probabilistic-machine-learning
Key words: Bayesian analysis, Probabilistic programming, Data analysis, Bayesian machine learning... Using Python with its library PyMC3, pandas...
vince-CV/optimization-in-deep-learning
Optimization algorithms commonly used in deep learning, mini-batch GD, SGD, and momentum methods AdapGrad, Adam... advanced methods Newton, quasi-Newton, L-BFGS...
vince-CV/Adaptive-Signal-Processing
Estimations and Wiener solutions; FIR filter banks based on STFT (short-time Fourier Transform ); Steepest descent and Newton method; Adaptive algorithms.
vince-CV/cv-facial-landmarks-applications
Facial landmarks detection along with their applications (virtual makeup).
vince-CV/Convolutional-neural-nets-implementation
Deep learning case studies with a popular deep learning framework Tensorflow, which included contents as Softmax , AutoEncoder, Multi-Layer Preceptrons, CNN, RNN, LSTM...
vince-CV/cv-facial-recognition
Recognizing human faces by OpenFace and Deep Learning methods.
vince-CV/cv-ocr-application
using OCR tech and case study for automatic number plate recognition.
vince-CV/supervised-homography-net
Supervised homography net (MobileNet v2) for perspective transform estimation and automated labeled data generation.
vince-CV/cv-mask-detection
Training custom object detector using yolo v3 and v4, along with inference and deployment. (using kaggle face mask data)
vince-CV/data-scientist-explore
CRISP-DM pipeline, data wrangling, data modeling, software development, web development/data visualization, data pipeline.
vince-CV/Labeling-image-recognition
Implement auto-labeling or ID image system, using vgg16 for recognition.
vince-CV/Semi-parametric-Learning
Clustering (unsupervised learning) algorithm implemented (K-means and DBSCAN). Objective-Oriented Programming demonstrated.
vince-CV/cuda-programming
vince-CV/cv-object-detection
vince-CV/cv-semantic-segmnetation
Semantic segmentation notebooks
vince-CV/Data-Science--Cheat-Sheet
Cheat Sheets
vince-CV/deformable-registration-net
Non-rigid dewarp net. Used spatial transform net to local dewarp the features.
vince-CV/K-Means-Clustering-using-Cplusplus
Rewrite a function to implement the K-Means Clustering in c++.
vince-CV/Pytorch-Notebook
vince-CV/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
vince-CV/unsupervised-homography-net
Unsupervised perspective transform estimations (spatial transform network). Use the similarity between image patches as the loss.
vince-CV/vince-CV.github.io
vince's technical blogs: http://vince-CV.github.io
vince-CV/yolo-v3-object-detection
Yolo v3 for label detection and used Darknet-53 as the backbone.