Fage452

URUST

[ECCV 2022] URUST: Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization

Kyoto-summer2autumn

Kyoto summer2autumn dataset official repository

backtrader

Python Backtesting library for trading strategies

learn_backtrader

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

RETFound_MAE

RETFound - A foundation model for retinal image

gpt4free

The official gpt4free repository | various collection of powerful language models

chatgpt-web

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

chatgpt-web

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

BingGPT

Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)

MCmatlab

Numerical simulation tool for Monte Carlo propagation of light in turbid media

Diffractive-Deep-Neural-Networks

Diffraction Deep Neural Networks(D2NN)

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-chatgpt-for-dev

Some ChatGPT-related resources for developers~

MyTT

MyTT将通达信,同花顺,文华麦语言等指标公式,最简移植到Python中,核心库单个文件，仅百行代码,十几个核心函数，神奇的实现所有常见技术指标算法（不依赖talib库）的纯python实现和转换通达信MACD,RSI,BOLL,ATR,KDJ,CCI,PSY等公式,全部基于pandas函数计算方法封装，简洁且高性能，能非常方便的应用在股票指标公式,股市期货量化框架分析,自动程序化交易,数字货币量化等领域,它是您最精练的股市量化工具。Python library with most stock market indicators.

ChatGPT

Reverse engineered ChatGPT API

VIPApulseshaper

Rayleigh-Sommerfeld scalar diffraction applied to a Virtually Imaged Phased Array pulse shaper

Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

RobustnessAccuracy

AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

Meta_SCMT

Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from current Local Periodic Approximation(LPA) based methods is that Meta_SCMT can achieve fullwave-level accuracy with much less computational resource.

SmartGlass

SmartGlass (SG) is a python implementation of a diffractive optical neural network. Currently, it supports training an all-optical classifier (e.g. classify hand-written digits MNIST dataset). Besides, the framework can also be used to design optics based on a task like focusing and beam steering. However, custom object functions should be defined. Besides training the optics, the SG also supports training the detectors using gradient-free optimization.

Diffractive-Neural-Network-PH-202

Repository for Diffractive Neural Network Course project under PH202

DNN

Optical diffraction neural network on PyTorch

Image-Classification

Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.

Optical-Neural-Network

Pytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

Gaussian-Process-Regression-handout

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

DI-sheep

羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)