Huy Manh's repositories
oakdata_benchmark
Modified of OAKData
pyceres_nnbind
Factor graphs with Ceres in Python, using nanobind, this is only for learning nanobind
github-slideshow
A robot powered training repository :robot:
muse-maskgit-pytorch
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
awesome-streaming
a curated list of awesome streaming frameworks, applications, etc
scipy
SciPy library main repository
consistent_depth
We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
robust_cvd
Robust Consistent Video Depth Estimation
mxhsnowy
Config files for my GitHub profile.
NL-CCAM
Combinational Class Activation Maps for Weakly Supervised Object Localization
Self-Correction-Human-Parsing
An out-of-box human parsing representation extractor.
GrabLabel
Learn somethin' from
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
keras-contrib
Keras community contributions
ImgCut
An interactive GUI for cutting objects from an image
unet
unet for image segmentation
scribble-segmentation
This repository presents the code of the paper titled "Scribble Based Interactive Page Layout Segmentation Using Gabor Filter" published in ICFHR2016.
MeanShift_cpp
Mean shift clustering Implementation in C++
10-steps-to-become-a-data-scientist
๐ข Ready to learn!โ you will learn 10 skills as data scientist:๐ Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.๐
MST-Image-Segmentation
This program segment an image by creating multiples Minimum Spanning Trees (MSTs). For this we used Kruskal's algorithm. Again I found out this method reading a paper during my research stay at Ritsumeikan, and decided to implement it. The sensei and I are very pleased with the results we obtained. I also mention this example in my lessons as an application of MSTs.