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10-steps-to-become-a-data-scientist

📢 Ready to learn!✅ you will learn 10 skills as data scientist:📚 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.🔖

activecut

Active learning based interactive image segmentation tool

awesome-streaming

a curated list of awesome streaming frameworks, applications, etc

computer-vision-with-opencv-3-and-qt5

Computer Vision with OpenCV 3 and Qt5, published by Packt

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

dmlir

Deep Mixture of Linear Inverse Regressions

endodepth_midas

github-slideshow

A robot powered training repository :robot:

gpb-gsoc

grablabel

Learn somethin' from

gradient-descent

A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.

growcut

“GrowCut” - Interactive Multi-Label N-D Image Segmentation By Cellular Automata

imgcut

An interactive GUI for cutting objects from an image

interactive-image-classification

keras-contrib

Keras community contributions

kttv_software

lisa-faster-r-cnn

Training a Faster R-CNN from scratch on LISA Traffic Signs dataset using TensorFlow Object Detection API

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

meanshift_cpp

Mean shift clustering Implementation in C++

ml-class-assignments

Programming Exercises on http://ml-class.org

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.

muse-maskgit-pytorch

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

mxhsnowy

Config files for my GitHub profile.

mxhsnowy.github.io

nl-ccam

Combinational Class Activation Maps for Weakly Supervised Object Localization

oakdata_benchmark

Modified of OAKData

pyceres_nnbind

Factor graphs with Ceres in Python, using nanobind, this is only for learning nanobind

rain-reader

An open source tool for interactive digitization of rainfall paper strip charts.

robust_cvd

Robust Consistent Video Depth Estimation

rs485-3-sensors