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500lineorless_cn

500 line or less 中文翻译计划。

a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

adapt

agd

Automatic gradient descent

anes

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bernoulli-mixture-model

Implementation of Bernoulli Mixture Models in Python

beyond-barren-plateaus

blackwater

Library for solving quantum computing problems using machine learning

boltzmann-machines

Boltzmann Machines in TensorFlow with examples

bosonic

Library for fast computations involving indistinguishable bosons

continuousmeasurementfi

Fisher information for magnetometry with continuously monitored spin systems

cvae-gan

decode

This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)

deep-q-learning-applied-to-quantum-error-correction

An implementation of a quantum error correction algorithm for bit-flip errors on the topological toric code using deep reinforcement learning.

deep-speckle-correlation

python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media

deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

dvae

Tensorflow implementation of DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

eqc

flowket

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gae

Implementation of Graph Auto-Encoders in TensorFlow

generative-quantum-states

Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

goat-quantumcontrol

Quantum Optimal Control-GOAT

hands-on-reinforcement-learning-with-python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

improved-ml-algorithm

Code for predicting ground state properties using new ML model.