JinanZou
Jinan Zou (Ph.D.) is a postdoctoral researcher at the Australian Institute for Machine Learning, the University of Adelaide.
Australian Institute for Machine LearningAustralia
Pinned Repositories
Astock
Astock
causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
DE-PPN
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
DeeplearningFundamentals
DeepTrader
FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
Fintec-Progress
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
SRLOOD
JinanZou's Repositories
JinanZou/Astock
Astock
JinanZou/Fintec-Progress
JinanZou/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
JinanZou/DeeplearningFundamentals
JinanZou/FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
JinanZou/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
JinanZou/causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
JinanZou/DE-PPN
JinanZou/DeepTrader
JinanZou/GIT
Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.
JinanZou/SRLOOD
JinanZou/jinanzou.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
JinanZou/profit-naacl
Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021
JinanZou/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
JinanZou/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information