animeshnanda1
Ph.D. researcher with expertise in exact diagonalization in quantum many-body physics, machine learning, quantum computation, and the monte-carlo method.
ICTS-TIFR, Bangalore, IndiaBangalore, India
Pinned Repositories
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's Repositories
animeshnanda1/AIND-DL
animeshnanda1/Classification-of-Data-with-Random-Forests-and-Decision-Trees
Random Forest Classification of data based on entropy
animeshnanda1/cpp_tutorial
C++ programs used for the tutorial
animeshnanda1/datasciencew17
Repo for Betamore Academy's ADS course winter 2017 semester
animeshnanda1/Flower-species-Recognition-using-Computer-vision-and-Machine-Learning
Used Convolutional Deep Neural nets to extract features from the image
animeshnanda1/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
animeshnanda1/kaggle_competitions
Repository with my code or various Kaggle competitions
animeshnanda1/machine-learning
Content for Udacity's Machine Learning curriculum
animeshnanda1/Movie-Recommender-using-RBM
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
animeshnanda1/Personal-DS-projects
Here is a list of my personal projects and courses I took related to Machine Learning
animeshnanda1/python-weather-forecast
A simple Python console program to get Weather Forecast from DarkSky API using any address as parameter.
animeshnanda1/quantum_walk
IBM Q Hackathon: Quantum Walk
animeshnanda1/Restricted-Boltzmann-Machine
animeshnanda1/sqaod
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
animeshnanda1/sta-663-2018
animeshnanda1/Udemy---Machine-Learning
Notebooks for Course