Animesh Nanda (animeshnanda1)

animeshnanda1

Geek Repo

Company:ICTS-TIFR, Bangalore, India

Location:Bangalore, India

Home Page:https://www.icts.res.in/people/animesh-nanda

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Animesh Nanda's repositories

QAOA_vs_ED

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

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my_QAOA_qiskit

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

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AI_ChatBot_Python

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

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aima-python

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

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Machine_and_deep_learning

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

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Random_maxcut

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

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awesome-public-datasets

A topic-centric list of HQ open datasets.

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awesome-quant

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

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Behavior-Sequence-Transformer-Pytorch

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

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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.

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fastbook

The fastai book, published as Jupyter Notebooks

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ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

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ISLR-python

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

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Network-Optimization

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

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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qiskit-finance

Quantum Finance

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qosf-qgan

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

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quantum-machine-learning

Source Code for 'Quantum Machine Learning' by Santanu Ganguly

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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.

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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.

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quantumcomputingbook

Companion site for the textbook Quantum Computing: An Applied Approach

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QuCumber

Neural Network Many-Body Wavefunction Reconstruction

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recommendation

Recommendation System using ML and DL

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school_2021

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

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scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

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sklearn_tutorial

Materials for my scikit-learn tutorial

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YouTubeVideoCode

Code related to my YouTube vids!

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