Grafana Pandas Datasource - using Python for generating timeseries-, table-data and annotations

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Classical shadows codes for quantum simulations of fermions and qubits, with error-mitigation routines for systems with symmetries

PySCF with auto-differentiation

Combined quantum noise model and quantum noise parameters optimization - part of the relevant paper

ADAPT-VQE simulation code

A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry

point group symmetries project

functorch is JAX-like composable function transforms for PyTorch.

Density-functional toolkit

This repository contains implementations and illustrative code to accompany DeepMind publications

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

tree is a library for working with nested data structures

The Yao compiler project

The electronic structure package for quantum computers.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

A Python program implementing and exploiting the Minsky Turing machine considered in the paper "Intrinsic Propensity for Vulnerability in Computers? Arbitrary Code Execution in the Universal Turing…

This repository contains any material needed to run Marvin Minsky's Universal Turing Machine in Martin Ugarte's "Turing Machine Simulator" and to demonstrate its vulnerability as described by Pontu…

A deep learning package for many-body potential energy representation and molecular dynamics

Elegant LaTeX Template for Notes

WuLiXueBao magazine article - automatic differentiation.

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Official Matplotlib cheat sheets

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

DyNet: The Dynamic Neural Network Toolkit