Rajesh Karra's repositories
awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
carbon-lang
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
clayma-store
An ecommerce UI with React, no back-end integration
django-rest-api
Complete DRF tutorial for beginners
GHC19-GroverSearch
Workshop materials for the "Introduction to Quantum Computing with Grover’s Search" workshop at Grace Hopper Celebration 2019
ImagineCup
Resources to help you enter, and perhaps win, the Imagine Cup, a worldwide event by Microsoft
opensource.guide
Community guides for open source creators
QWorld-Global-QBronze-Workshop-2020
QWorld Global QBronze Workshop_2020
sugardough
A web application template based on Django.
SwiftQuantumComputing
Quantum circuit simulator in Swift
tensorflow
Computation using data flow graphs for scalable machine learning
fastai
The fastai deep learning library, plus lessons and tutorials
qiskit
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
Awesome-Maths-Learning
:sunglasses: :scroll: Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
django
The Web framework for perfectionists with deadlines.
eth-cs-notes
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
interactive-tutorials
Interactive Tutorials
pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
pennylane-pq
Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
pyactr
Python package for ACT-R cognitive models
qiskit-terra
Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.
QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
youtube
Examples used in youtube videos