Large Language Model Course

Updated 2024-01-09 11:30:57 +08:00 makemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it.

Updated 2024-01-02 12:20:25 +08:00

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.

Updated 2023-10-24 11:00:51 +08:00

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

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

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

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

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

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

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

Updated 2023-09-15 10:43:33 +08:00

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

Updated 2023-08-18 20:43:49 +08:00

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

Updated 2023-08-18 20:34:19 +08:00

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

Updated 2023-08-18 20:32:25 +08:00

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

Updated 2023-08-18 20:29:47 +08:00

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.

Updated 2023-08-18 20:26:05 +08:00

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

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

code and data for the time series analysis video from YouTube channel:

Updated 2023-08-18 20:16:58 +08:00

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

Updated 2023-08-18 20:13:08 +08:00

Published by Packt, Hands-on Supervised Machine Learning with Python

Updated 2023-08-18 20:10:53 +08:00