Pinned Repositories
activityrecognition
Resources about activity recognition-行为识别资料
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
AIAlpha
Use unsupervised and supervised learning to predict stocks
alpaca_tech_screener
backtrader
Python Backtesting library for trading strategies
BristolStockExchange
BSE is a simple minimal simulation of a limit order book financial exchange
byteps
A high performance and generic framework for distributed DNN training
catch22
catch-22: CAnonical Time-series CHaracteristics
easytrader
提供银河/国金/华泰客户端/同花顺客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
youjp's Repositories
youjp/BristolStockExchange
BSE is a simple minimal simulation of a limit order book financial exchange
youjp/byteps
A high performance and generic framework for distributed DNN training
youjp/catch22
catch-22: CAnonical Time-series CHaracteristics
youjp/cesium
Machine Learning Time-Series Platform
youjp/code-with-paper
youjp/CoinTossX
A low latency high throughput matching engine based on the rules of the JSE
youjp/DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
youjp/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
youjp/deit
Official DeiT repository
youjp/EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
youjp/FinRL-Library
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
youjp/forecasting
Time Series Forecasting Best Practices & Examples
youjp/gluon-ts
Probabilistic time series modeling in Python
youjp/hctsa
Highly comparative time-series analysis
youjp/Informer2020
The GitHub repository for the paper accepted by AAAI 2021.
youjp/keras-tcn
Keras Temporal Convolutional Network.
youjp/nlp_paper_study
研读顶会论文，复现论文相关代码
youjp/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
youjp/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
youjp/spektral
Graph Neural Networks with Keras and Tensorflow 2.
youjp/TCAN
A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".
youjp/Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
youjp/tpu
Reference models and tools for Cloud TPUs.
youjp/tqsdk-python
天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
youjp/transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
youjp/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
youjp/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
youjp/tsai
Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
youjp/tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
youjp/TSRegression
This repository contains the source code for time series regression.