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pyfbad

An open-source outlier detection package by Getcontact Data Team

pythia

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

python_portfolio__var_tool

Python-based portfolio / stock widget , calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice

pyts

A Python package for time series classification

quantitative-analysis

量化研究-券商金工研报复现

randopt

Streamlined machine learning experiment management.

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

rocket

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

ruptures

ruptures: change point detection in Python

s2v

ICLR 2018 Quick-Thought vectors

sensim

Sentence Similarity Estimator (SenSim)

sent2vec

General purpose unsupervised sentence representations

sentence-similarity

对四种句子/文本相似度计算方法进行实验与比较

sentence-transformers

Sentence Embeddings with BERT & XLNet

senteval

A python tool for evaluating the quality of sentence embeddings.

sentiment-analysis

siamese-lstm

Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.

simdjson

Parsing gigabytes of JSON per second

simtsc

[SDM 2022] Towards Similarity-Aware Time-Series Classification

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

sparkdeepmlpgadow30

A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)

spm_toolkit

Neural network toolkit for sentence pair modeling.

stock-prediction-models

machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_cnn_blog_pub

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

stocks-pattern-analyzer

discover different patterns based on similarity measures in historical (financial) data

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

ta

Technical Analysis Library using Pandas and Numpy

text-classification

Explore text classification methods in NLP with deep learning

ticc

TICC - a python solver for efficiently segmenting and clustering a multivariate time series

time-series-analysis-tutorial

时间序列分析教程