vince-cv Goto Github PK

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...

cuda-programming

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-object-detection

cv-ocr-application

using OCR tech and case study for automatic number plate recognition.

cv-semantic-segmnetation

Semantic segmentation notebooks

data-science--cheat-sheet

Cheat Sheets

data-scientist-explore

CRISP-DM pipeline, data wrangling, data modeling, software development, web development/data visualization, data pipeline.

deformable-registration-net

Non-rigid dewarp net. Used spatial transform net to local dewarp the features.

k-means-clustering-using-cplusplus

Rewrite a function to implement the K-Means Clustering in c++.

labeling-image-recognition

Implement auto-labeling or ID image system, using vgg16 for recognition.

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...

pytorch-notebook

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

semi-parametric-learning

Clustering (unsupervised learning) algorithm implemented (K-means and DBSCAN). Objective-Oriented Programming demonstrated.

supervised-homography-net

Supervised homography net (MobileNet v2) for perspective transform estimation and automated labeled data generation.

unsupervised-homography-net

Unsupervised perspective transform estimations (spatial transform network). Use the similarity between image patches as the loss.

vince-cv.github.io

vince's technical blogs: http://vince-CV.github.io

yolo-v3-object-detection

Yolo v3 for label detection and used Darknet-53 as the backbone.