ai-stuff Goto Github PK

qtrader

Reinforcement Learning for Portfolio Management

quant

Quantitative Finance and Algorithmic Trading

quant_finance

Repository for teachings on Quant Finance

quantstats

Portfolio analytics for quants, written in Python

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

real-estate-property-fraud

Unsupervised fraud detection model that can identify likely candidates of fraud within the NYC Department of Finance Property Valuation and Assessment database

reddit-aita-project

research_documents_curation_with_nlp

Applied Finance Project from UCLA Anderson, using natural language processing techniques to classify and summarize quantitative finance research papers

retro

Retro Games in Gym

risk-management

HSE Course in Risk-Management

risk_estimation

Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling)

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-finance

CAIS++ Spring 2019 Project: Building an Agent to Trade with Reinforcement Learning

rm-qf

Research Methodology for Quant Finance and Fintech by Jaehyuk Choi and Xianhua Peng

rustlearn

Machine learning crate for Rust

rusty-machine

Machine Learning library for Rust

sec-doc-info-extraction

Using NLP to find and extract specific information from long, unstructured documents

sec_employee_information_extraction

NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values for companies from SEC filings.

self_driving_pi_car

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

simple_cnn

Simple Convolutional Neural Network Library

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

snns

Tutorials and implementations for "Self-normalizing networks"

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

stock2vec

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history