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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Download market data from Yahoo! Finance's API
Open source software that helps you create and deploy high-frequency crypto trading bots
A Library for Advanced Deep Time Series Models.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
A machine learning library for detecting anomalies in signals.
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
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…
Python interface to CoreNLP using a bidirectional server-client interface.
Korea Investment & Securities Open API Github https://apiportal.koreainvestment.com
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
An OpenAi Gym environment for the Job Shop Scheduling problem.
Get data realtime from websocket tradingview
Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"
Get a list of stock symbols from all major stock exchanges across various regions and markets.
This repository is used to manage the code of ADM research
A Python package implementing Structural Causal Models (SCMs).
Kaggle 2018 Data Science Bowl: Find nucleus of cells using UNET model
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