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hoooomer's Projects
as_marketmaker
AS model performance versus trivial delta for market-makers
barra_cne6
Barra CNE6 因子构建
deepctr
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
deepke
An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.
dl-4-tsc
Deep Learning for Time Series Classification
fost
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
langchain
⚡ Building applications with LLMs through composability ⚡
lightgbm
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
market-maker-sample
Vastly Improved BitMEX Market Making Algo
pytorch_geometric
Graph Neural Network Library for PyTorch
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.
ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
temporal_relational_stock_ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
ucr_time_series_classification_deep_learning_baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
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