finleyzhuang

langchain

🦜🔗 Build context-aware reasoning applications

zsh-autosuggestions

Fish-like autosuggestions for zsh

ggml

Tensor library for machine learning

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Chinese-LLaMA-Alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

RL-Stock

📈 如何用深度强化学习自动炒股

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

qiskit-machine-learning

Quantum Machine Learning

netease-cloud-music-dl

Netease cloud music song downloader, with full ID3 metadata, eg: front cover image, artist name, album name, song title and so on.

scqubits

Superconducting Qubits in Python

PythonIsTools

python is tools! 通过制作python工具，从而学习更好的学习python。如：制作抖音、快手下载器，v2ray代理池，电商关键词探索，App自动化，word文档，视频剪辑，ChatGPT-3/4等等工具！

QC-CNN

Quantum-classical hybrid convolutional neural network for classical image classification

mqt-bench

MQT Bench - A MQT tool for Benchmarking Quantum Software Tools

qua-libs

High level libraries over QUA

Learn-to-Calibrate

We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration.

Quanlse

py-qua-tools

Tools for enhancing your quantum experiments

qililab

Qililab is a generic and scalable quantum control library used for fast characterization and calibration of quantum chips. Qililab also offers the ability to execute high-level quantum algorithms with your quantum hardware.

qibocal

Quantum calibration, characterization and validation module for Qibo.

A-differentiable-programming-method-for-quantum-control

scqubits-examples

Jupyter notebooks showing examples of using the scqubits library

Quantum-Neural-Network

An implementation of the NISQ neural network described in Farhi and Neven (1802.06002)

blogs

Support files for blog posts of Zurich Instruments

Bayesian-Structure-Learning

Search of an optimal Bayesian Network, assessing its best fit to a dataset, via an objective scoring function. Created at Stanford University, by Pablo Rodriguez Bertorello

quantum-RL-with-quafu

Implement reinforcement learning(RL) based on parameterized quantum circuits with quantum computing cloud Quafu.

nn-quantum-state-representation

Many-body Quantum State Representation with Neural Networks

quafu-qiskit

This package converts the circuit of qiskit into a circuit supported by pyquafu. The converted circuit can be input to the quafu cloud platform for processing.

Handwritten-digit-recognition

Handwritten digit recognition with the MNIST dataset.

classification-of-handwritten-digits

Classification of the handwritten digits ‘4 and 9’ from the MNIST dataset