Australia

Vincent Zhu

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@vincent05r

USYD PHD candidate, doing interesting AI research // Times Series Forecast // Financial Time Series Forecast

scholar.google.com/citations?hl=en&user=ST5ueosAAAAJ

FinCast-fts. This is the official implementation of CIKM 2025 FinCast Financial Time series foundation model

130

Stock_models_transformer. Jupyter Notebook

5

stock_data. acquire & preprocessing

3

Stock_models. using various machine learning models to predict stock prices

3

Finance_data. scripts for finance data download

3

NMT-seq2seq-attention. translation model using RNN + attension

2

Resnet_T-matrix_label-noise. using a transitional matrix to reduce the impact of label noise in supervised learning.

2

pytorch-tsmixer-uof. A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

1

EvAC3D. Python

1

FreTS-test. Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

1

NMT-transformer. Jupyter Notebook

1

LSTM_t1. testing & development for LSTM model

1

llama3. llama3 repo for work

1
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