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
This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. https://jakevdp.github.io/PythonDataScienceHandbook/
Updated
It is an utility library for Kaggle and offline competitions. It is particularly focused on experiment tracking, feature engineering, and validation.
Updated
A collection of resources for pandas (Python) and related subjects.
Updated
HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)
Updated
Set of Jupyter notebook supporting articles on https://medium.com/@vdekanovsky
Updated
A summary from a Chinese author "bitcarmanlee". Chinese contents. Please go to the author's link https://github.com/bitcarmanlee/easy-algorithm-interview-and-practice
Updated
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
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Updated
Neural Networks: Zero to Hero
Updated
https://github.com/karpathy/makemore makemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it.
Updated
Large Language Model Course
Updated
Material for a beginner Python course during 2019/2020
Updated