Name: Santanu Ganguly
Type: User
Bio: Uncertified Nerd, wannabe Physicist, data industry slave, failed painter, traveller, citizen of the world, grew up in Indian Himalayas & Calcutta fish markets.
Location: United Kingdom
Blog: https://www.linkedin.com/in/santanu-ganguly-70512a1/
Santanu Ganguly's Projects
estimating parameters of strong gravitational lenses with convolutional neural networks
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
Examples of exercises that accompany Effective Computation in Physics
Type an M x M matrix for your open quantum system Hamiltonian, and give a spectral density (analytic or numerical). FeynDyn gives the density matrix dynamics according to the Leggett-Caldeira bath or the Feynman-Vernon bath at any temperature. Can do up to 16 qubits (65536 levels) and infinitely many bath modes. Email [email protected] for the latest version or any questions.
Deep learning with dynamic computation graphs in TensorFlow
Google Research
Quantum algorithms built using pyQuil.
This guide is for researchers entering the area of Quantum Computation and Quantum Information Science.
CDL Quantum Hackathon 2020
Hands-On Data Science and Python Machine Learning, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Information about the different remote backends available for qiskit users with a IBMQ account
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Assistance script to build TensorFlow on an NVIDIA Jetson Module
Machine Learning with Matlab-Octave
Example xAct notebooks with common usage patterns
QC
Original versions of the exercises
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Code and documentation for the first machine learning focused mock data challenge hosted by the Albert-Einstein-Institut Hannover and the Friedrich-Schiller Universität Jena.
The code from the Machine Learning Bookcamp book and a free course based on the book
Models and examples built with TensorFlow
MPS in Julia minicourse
Python Node and SDK for the NEO blockchain
NASA's Asteroid Data Hunter challenge tasked competitors to develop significantly improved algorithms to identify asteroids in images from ground-based telescopes. This winning solution increased the detection sensitivity, minimize the number of false positives, ignore imperfections in the data, and run effectively on all computers.