Ritika Gupta's repositories
how-to-contribute-to-open-source
A guide to contributing to open source
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
52-technologies-in-2016
Let's learn a new technology every week. A new technology blog every Sunday in 2016.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
free-programming-books
:books: Freely available programming books
freebsd
FreeBSD src tree (read-only mirror)
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
keras
Deep Learning for humans
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
learningGit
Learning git
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
plots2
PublicLab.org - a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:
programming
Code a program in a language of your choice.
project-based-learning
Curated list of project-based tutorials
rgsoc-teams
Teams management and activity
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
vehicle_plate_detection_and_number_recognition
Vehicle number plate Detection and Recognition