Name: Shyamal Suhana Chandra
Type: User
Company: VP R&D, Sapana Micro Software
Bio: VP R&D, Sapana Micro Software
Computer Scientist & AI Researcher & Chess Player, @lichess-org & @ucla Bruin and Pitt Panther for life! Ⓥ 🇺🇸
Twitter: shyamal_chandra
Location: Kansas, USA
Blog: shyamalchandra.home.blog
Shyamal Suhana Chandra's Projects
An implementation of WaveNet with fast generation
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Canonical source repository for PyYAML
Question Answering with Interactive Text (QAit), code for EMNLP 2019 paper "Interactive Language Learning by Question Answering"
QBASIC implementation in JavaScript
Automatically exported from code.google.com/p/qb64
BASIC for the modern era.
qbsolv is a metaheuristic or partitioning solver that solves a potentially large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces that are solved either on a D-Wave system or via a classical tabu solver.
A High Performance, Hardware accelerated, Quantum computer simulator in Rust
Quantcast File System
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
Aer is a high performance simulator for quantum circuits that includes noise models
A Python library for the Quantum Experience API
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Qiskit in swift
Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Q# compiler, command line tool, and Q# language server
Runtime components for Q#
Qt5 super module
Quantum Turing Machine Simulator
Quadsort is a stable adaptive merge sort which is faster than quicksort.
Quake III Arena GPL Source Release
Microsoft Quantum Development Kit Samples and Libraries
Hybrid Quantum-Classical Machine Learning in TensorFlow
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
Microsoft Quantum Computing Libraries for noncommercial use
Programming exercises for learning Q# and quantum computing
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent