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Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
A Python package implementing Structural Causal Models (SCMs).
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
An R package for causal inference in time series
Python toolkit for quantitative finance
Open source software that helps you create and deploy high-frequency crypto trading bots
Korea Investment & Securities Open API Github https://apiportal.koreainvestment.com
Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global…
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Download market data from Yahoo! Finance's API
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Financial data reader
This repository is used to manage the code of ADM research
A Library for Advanced Deep Time Series Models.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
hw assignments for uc berkeley cs285: deep rl
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
An OpenAi Gym environment for the Job Shop Scheduling problem.
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