Neural Networks: Zero to Hero

Updated 2023-12-03 19:00:44 +08:00

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Updated 2023-11-08 08:26:00 +08:00

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.

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It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Close, High, Low, Volume). It is built on Pandas and Numpy. Project url:

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Lean Six Sigma (LSS) is a method based on a stepwise approach to process improvements.This approach usually follows 5 steps (Define, Measure, Analyze, Improve and Control) for improving existing process problems with unknown causes. source:

Updated 2023-09-15 11:16:05 +08:00

ML for Trading - 2nd Edition This book aims to show how ML can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions.

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MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions. Source from: Caution!!! As of Feb 2021: MachineLearningStocks is no longer actively maintained

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These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

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PyPortfolioOpt is a library that implements portfolio optimization methods, including classical mean-variance optimization techniques and Black-Litterman allocation

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Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs. From Samir Saci

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Build a simple methodology of Supply Chain Network Design that is considering the fluctuation of the demand.

Updated 2023-09-15 11:15:00 +08:00

Set of Jupyter notebook supporting articles on

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notebooks for

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A summary from a Chinese author "bitcarmanlee". Chinese contents. Please go to the author's link

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A collection of resources for pandas (Python) and related subjects.

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It is an utility library for Kaggle and offline competitions. It is particularly focused on experiment tracking, feature engineering, and validation.

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This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.

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Jupylet is a Python library for programming 2D and 3D games, graphics, music and sound synthesizers, interactively in a Jupyter notebook. It is intended for three types of audiences: Computer scientists, researchers, and students of deep reinforcement learning. Musicians interested in sound synthesis and live music coding. Kids and their parents interested in learning to program.

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sql magic for IPython, hopefully evolving into full SQL client.

Updated 2023-08-18 20:23:41 +08:00