bharathijeeva's repositories
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
awesome-quantum-computing
A curated list of awesome quantum computing learning and developing resources.
DickeModel.jl
A toolkit for the quantum and classical Dicke model in Julia.
EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Gaussian-Quantum-Information-Numerical-Toolbox-python
Numerical toolbox in Python for Gaussian Quantum Information and time evolution of gaussian states through quantum Langevin and Lyapunov equations
graph-theory
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
Hackathon2021
CDL Quantum Hackathon 2021
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ITensors.jl
A Julia library for efficient tensor computations and tensor network calculations
Langevin-Dynamics
Simulation of Langevin dynamics
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
MachineLearning_Physics
This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semester. For more information, see the course page at
networkit
NetworKit is a growing open-source toolkit for large-scale network analysis.
Nonlinear-Systems-Chaos
Non-Linear Dynamic Systems
OTOC-growth-rate-and-Lyapunov-Exponent-to-inspect-classical-and-quantum-chaos
Project for the Quantum Information and Computing course, 2020/2021
Physics-Aware-Training
Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
qml-vqa-library
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.
quantum-mechanics
A collection of jupyter notebooks for quantum mechanics tutorials.
QuantumFlow_Tutorial
A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.
QuantumOptics.jl-examples
Examples for QuantumOptics.jl
QuNetSim
A quantum network simulation framework.
reservoir-persistent-memory
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
RNNWavefunctions
A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
SQWalk
A simple quantum walk simulator in python
TEQS
Welcome to The Eigensolver Quantum School, a quantum computing crash course designed by students for students.
TorchMPS
PyTorch toolbox for matrix product state models
youtube_channel
Notebooks for the python tutorials of my youtube channel. See specific youtube video for link to specifc notebook.