jingmouren Goto Github PK

saint

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

sap-hana-automl

Python Automated Machine Learning library for tabular data.

scalabel

scihub-cn

国内环境下可用的scihub论文下载器

scikit-hts

Hierarchical Time Series Forecasting with a familiar API

scikit-network

Graph Algorithms

scikit-portfolio

A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.

scikit-time

A unified framework for machine learning with time series

scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.

scorecard-bundle

A High-level Scorecard Modeling API | 评分卡建模尽在于此

scorecardpy

Scorecard Development in python, 评分卡

sdnet

sdp_clustering

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

secure-xgboost

Secure collaborative training and inference for XGBoost.

securityselect

多因子选股框架

segmenters_lib

The LiDAR segmenters library, for segmentation-based detection.

self-paced-ensemble

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

self_barra_system

selftask-gnn

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

selftime

ICLR2021 (Under Review)

sensitive-stop-words

互联网常用敏感词、停止词词库

sent2vec

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

sentence-doctor

Many Natural Language Processing tasks rely on sentence boundary detection (SBD). Although amazing libraries like spacy provide state of the art SBD, they often depend on text extractors (e.g pdf text extractors or OCR). The quality of these extractors greatly influence the quality of SBD libraries and as a consequence, the performance of downstream models as well. To help address this problem, we fine-tuned a T5 model from the hugging face hub that attempts to reconstruct “broken sentences”

sentence_transformer_zh

separating-winners-from-losers-among-low-book-to-market-stocks-using-financial-statement-analysis---

seq2annotation

基于 TensorFlow 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

sequoia

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

sgl

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

shan-shui-inf

Procedurally generated Chinese landscape painting.