adam-narozniak's Stars
faif/python-patterns
A collection of design patterns/idioms in Python
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
charmbracelet/vhs
Your CLI home video recorder 📼
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
adap/flower
Flower: A Friendly Federated AI Framework
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tylerlaberge/PyPattyrn
A simple library for implementing common design patterns.
iver56/audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
quantifiedcode/python-anti-patterns
An open collection of Python anti-patterns and worst practices.
brandon-rhodes/python-patterns
Source code behind the python-patterns.guide site by Brandon Rhodes
dboyliao/SOLID
SOLID - OO Development Principle in Python
sweng-epfl/public
Software Engineering course materials from EPFL
MalgosiaL/MatUnder
SDP-Rock-Paper-Scissors/RockPaperScissors