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gfte

A GCN-based table structure recognition method

gluonts

Probabilistic time series modeling in Python

go-onnxruntime

go-python3

Go bindings to the CPython-3 API

going-deeper-with-convolutional-neural-network-for-stock-market-prediction

Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction

google-research

Google Research

graph-networks

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP

gtnrl-trading

half-size

Code for "Effective Dimensionality Reduction for Word Embeddings".

hands-on-ml

https://hml.boyuai.com

hands-on-rl

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

hands-on-rl-yuyong

https://hrl.boyuai.com/

hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

hft_bitcoin

Analysis of High Frequency Trading on Bitcoin exchanges

high-frequency

High Frequency Analysis Based On Level-2 Data（Limit Order Book& Transaction Data)

high-frequency-factors

High frequency factors based on order and trade data.

hist

The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

hmm

how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?"

hypergbm

A full pipeline AutoML tool for tabular data

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ignn

Implicit Graph Neural Networks

image_tabular

Integrate image and tabular data for deep learning

interview_python

关于Python的面试题

jiuzhaigou_crawler

九寨沟每日旅游人数及天气状况爬虫

jobflow

jobflow is a library for writing computational workflows.

kaggle-moa-2nd-place-solution

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)