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machine-learning-for-algorithmic-trading-second-edition_original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

margin-trader

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

modern-time-series-forecasting-with-python

Modern Time Series Forecasting with Python, published by Packt

mteb

MTEB: Massive Text Embedding Benchmark

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

options_trading_ml

Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

orion

A machine learning library for detecting anomalies in signals.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

pythondata

repo for code published on pythondata.com

pytorch-transformer-ts

Repository of Transformer based PyTorch Time Series Models

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

reasoning-for-sentiment-analysis-framework

This repository contains code for reasoning with LLMs in Targeted Sentiment Analysis for Russian

rlfinance

The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance

sentimentdrivenrltrader

Reinforcement Learning Framework for Stock Trading Using Sentiment Analysis. This repository hosts a novel RL-based trading model that integrates market sentiment to make informed buy and sell decisions.

stable-diffusion-webui

Stable Diffusion web UI

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stock-pattern-recorginition

stock-prediction

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

stock-price_prediction-using-lstm-and-sentiment-analysis

stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, TKDE, CIKM, AAAI, IJCAI, ACL, EMNLP.

tcpd

The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

tcpdbench

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

time-series-library

A Library for Advanced Deep Time Series Models.