Pinned Repositories
Avellaneda-Stoikov-Implementation
An implementation of Avellaneda-Stoikov market making model after reading the seminal paper
awesome-gpt3
hummingbot
Hummingbot: a client for crypto market making
hummingbot-monitor
Grafana monitoring for hummingbot
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
magat_pathplanning
online-shop-backend
Back end of a full-stack online shopping mall project, based on Node.js + MongoDB
react-acodo
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
yf292's Repositories
yf292/leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
yf292/Avellaneda-Stoikov-Implementation
An implementation of Avellaneda-Stoikov market making model after reading the seminal paper
yf292/awesome-gpt3
yf292/hummingbot
Hummingbot: a client for crypto market making
yf292/hummingbot-monitor
Grafana monitoring for hummingbot
yf292/magat_pathplanning
yf292/online-shop-backend
Back end of a full-stack online shopping mall project, based on Node.js + MongoDB
yf292/react-acodo
yf292/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
yf292/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
yf292/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
yf292/vue-admin-system
An admin system based on Vue and Element-UI