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Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Learn ML engineering for free in 4 months!
Merlion: A Machine Learning Framework for Time Series Intelligence
Modern Time Series Forecasting with Python, published by Packt
MTEB: Massive Text Embedding Benchmark
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
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.
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.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A machine learning library for detecting anomalies in signals.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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).
Fast, flexible and easy to use probabilistic modelling in Python.
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
repo for code published on pythondata.com
Repository of Transformer based PyTorch Time Series Models
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
This repository contains code for reasoning with LLMs in Targeted Sentiment Analysis for Russian
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
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 web UI
Code and documentation to train Stanford's Alpaca models, and generate the data.
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.
Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, TKDE, CIKM, AAAI, IJCAI, ACL, EMNLP.
The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
A Library for Advanced Deep Time Series Models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.