Dylan-Inventor

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

google-research

Google Research

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

zipline

Zipline, a Pythonic Algorithmic Trading Library

tushare

TuShare is a utility for crawling historical data of China stocks

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

nlp-competitions-list-review

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

stock-knowledge-graph

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

attention

some attention implements

OpenData

开源的金融投资数据提取工具，专注在各类网站上爬取数据，并通过简单易用的API方式使用

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

CrossSection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

Conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

BERT-for-Sequence-Labeling-and-Text-Classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

TFC-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

linformer-pytorch

My take on a practical implementation of Linformer for Pytorch.

NLPGNN

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

SOFT

[NeurIPS 2021 Spotlight] & [IJCV 2024] SOFT: Softmax-free Transformer with Linear Complexity

time_series_forecasting

tft_tf2

Temporal Fusion Transformers for Tensorflow 2.x

ADGAT

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

sthan-sr-aaai

STMN

An official implementation of "Video-based Person Re-identification with Spatial and Temporal Memory Networks" (ICCV 2021) in PyTorch.

Spatial-Temporal-attention

Quant-using-Python

A code lib to store the program file mentioned in my blogs