Alternatives and similar repositories for Learning2learn

Users that are interested in Learning2learn are comparing it to the libraries listed below

• QLemma / qleet
  qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…
  ☆33Updated 2 years ago
• PennyLaneAI / pennylane-qulacs
  The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
  ☆31Updated 2 weeks ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆43Updated 6 years ago
• XanaduAI / expressive_power_of_quantum_models
  This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of …
  ☆48Updated 4 years ago
• refraction-ray / tensorcircuit
  Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…
  ☆28Updated 8 months ago
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆33Updated 2 years ago
• yuxuan-du / Quantum_architecture_search
  ☆42Updated 3 years ago
• QAOAKit / QAOAKit
  A Toolkit for Reproducible Study, Application and Verification of QAOA
  ☆53Updated last year
• JonasLandman / QCNN
  quantum convolutional neural network - simulations
  ☆108Updated 5 years ago
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆35Updated 2 years ago
• XanaduAI / qml-benchmarks
  Code to benchmark quantum machine learning models
  ☆60Updated last week
• hsim13372 / QCompress
  A Python framework for the quantum autoencoder
  ☆27Updated 6 years ago
• quantshah / gd-qpt
  Gradient-descent quantum process tomography by learning Kraus operators
  ☆23Updated 2 years ago
• ML4QTech / Collection
  ☆43Updated 2 years ago
• lockwo / quantum_computation
  Code for implementing and experimenting with quantum algorithms
  ☆72Updated last year
• dumkar / learning-to-learn-qnn
  Learning-to-learn for QNNs: learning few-shot optimization of quantum neural networks with classical neural networks
  ☆39Updated 5 years ago
• v-sivak / quantum-control-rl
  Model-Free Quantum Control with Reinforcement Learning.
  ☆60Updated 2 years ago
• rdisipio / quantum_unfolding
  Unfolding with quantum computing.
  ☆15Updated 2 years ago
• Matematija / QubitRBM
  A Quantum circuit simulator based on Restricted Boltzmann Machines.
  ☆24Updated 2 years ago
• yiminghwang / qWGAN
  The project codes associated with quantum Wasserstein GAN
  ☆53Updated 4 years ago
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆35Updated 11 months ago
• FujiiLabCollaboration / MNISQ-quantum-circuit-dataset
  MNISQ circuit dataset for machine learning and quantum machine learning
  ☆29Updated last year
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• bartubisgin / QSVTinQiskit-2021-Europe-Hackathon-Winning-Project-
  Search with Quantum Singular Value Transformation in Qiskit
  ☆51Updated 3 years ago
• NoahBerner / quantum_bayesian_neural_networks
  Noah's master thesis on Quantum Bayesian Neural Networks
  ☆10Updated 3 years ago
• dwavesystems / dwave-pimc
  ☆23Updated 5 years ago
• lockwo / rl_qvc_opt
  Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
  ☆19Updated last year
• orcacomputing / quantumqubo
  ORCA's QUBO solver running on a simulated PT-Series
  ☆14Updated 3 years ago
• rigetti / quantumflow-qaoa
  Optimize QAOA circuits for graph maxcut using tensorflow
  ☆30Updated 6 years ago