animeshnanda1

100-shell-script-examples

Collection of shell scripts found on the internet

AI_ChatBot_Python

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

AIND-DL

Exact_diagonalization_spin_half

I will try to construct a many-body Hamiltonian and solve it using the basic python modules. For concreteness, we will solve two examples, namely the transverse field Ising (TFI) model and the toric code (TC) model in one and two spatial dimensions respectively.

Machine_and_deep_learning

In this repository, I will train some of the machine learning models.

MCMC_2d_ising

Using the Metropolis-Hastings algorithm here we will simulate the Ising model in two spatial dimensions.

my_QAOA_qiskit

In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.

QAOA_vs_ED

Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.

Random_maxcut

The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.

animeshnanda1/my_QAOA_qiskit

In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.

animeshnanda1/QAOA_vs_ED

Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.

animeshnanda1/Random_maxcut

The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.

animeshnanda1/AI_ChatBot_Python

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

animeshnanda1/aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

animeshnanda1/Machine_and_deep_learning

In this repository, I will train some of the machine learning models.

animeshnanda1/animeshnanda1.github.io

animeshnanda1/awesome-public-datasets

A topic-centric list of HQ open datasets.

animeshnanda1/awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

animeshnanda1/Behavior-Sequence-Transformer-Pytorch

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

animeshnanda1/data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

animeshnanda1/fastbook

The fastai book, published as Jupyter Notebooks

animeshnanda1/ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

animeshnanda1/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

animeshnanda1/Network-Optimization

A project on Graph Theory and Networks where a network's virtual backbone is optimised.

animeshnanda1/PortfolioProjects

animeshnanda1/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

animeshnanda1/qiskit-finance

Quantum Finance

animeshnanda1/qosf-qgan

Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.

animeshnanda1/quantum-machine-learning

Source Code for 'Quantum Machine Learning' by Santanu Ganguly

animeshnanda1/Quantum_Machine_Learning_Express

This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.

animeshnanda1/quantumComputing

Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.

animeshnanda1/quantumcomputingbook

Companion site for the textbook Quantum Computing: An Applied Approach

animeshnanda1/QuCumber

Neural Network Many-Body Wavefunction Reconstruction

animeshnanda1/recommendation

Recommendation System using ML and DL

animeshnanda1/school_2021

This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".

animeshnanda1/scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

animeshnanda1/sklearn_tutorial

Materials for my scikit-learn tutorial

animeshnanda1/SSH_codes

animeshnanda1/YouTubeVideoCode

Code related to my YouTube vids!