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advance-machine-learning

awesome-agile

Awesome List of resources on Agile Software Development.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-ddd

A curated list of Domain-Driven Design (DDD), Command Query Responsibility Segregation (CQRS), Event Sourcing, and Event Storming resources

awesome-design-patterns

A curated list of software and architecture related design patterns.

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

babyagi

chatter

A AI coder

classiccomputerscienceproblemsinpython

Source Code for the Book Classic Computer Science Problems in Python

cs7646-machine-learning-for-trading

Assignments as part of CS 7646 at GeorgiaTech under Dr. Tucker Balch in Fall 2017

cursoddd

Curso de DDD com as essenciais coisas que se deve saber antes de começar um projeto.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencepath

Dataquest data science path study notebooks

datingapp

Udemy angular/dotnet core project

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

desafiogiu

Simple Crawler using python

design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

ds-zap-challenge

engshell

An English-language shell for any OS, powered by LLMs

eshoponcontainers

Easy to get started sample reference microservice and container based application. Cross-platform on Linux and Windows Docker Containers, powered by .NET Core 2.2, Docker engine and optionally Azure, Kubernetes or Service Fabric. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

examples

Flet sample applications

feature_engine

Feature engineering package with sklearn like functionality

gpt-ts-tutorial

jetbraisacademy-tictactoe

jsoncharts

jupyter

Jupyter metapackage for installation, docs and chat