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advanced-python

Advanced python programming course

ai_art

Course content and resources for the AIAIART course.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

base_fool

Cards play in simple fool

calgarydeeplearning

Source code and presentations for the Calgary Deep Learning

class_test

test works

constructor_nets

Constructor conv nets

continualai---avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

control_net-colabs

many intersing colabs with SD realisation on base control_net

cv_course

deep-learning-tf

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dl-colab-notebooks

Try out deep learning models online on Google Colab

dstl-satellite-imagery-feature-detection

evolutionary-computation-course

Jupyter/IPython notebooks about evolutionary computation.

evolutionary-multiobjective-optimization

A Jupyter/IPython notebook tutorial on evolutionary multi-objective optimization.

evolutionarycomputation

evolutionarydeeplearning

Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham

fedot-examples

The repository contains examples for the AutoML framework FEDOT

finrl

FinRL: Financial Reinforcement Learning. 🔥

genetic-algorithm

parallel distributed genetic algorithm

genetic-algorithms

Implementation of standard, migration and diffusion models of genetic algorithms (GA)

genetic_algorithm_gpu-cpu

Creation of a genetic algorithm using maximum GPU and CPU calculation acceleration.

genetic_generation_net

hugging_face_diffusion_models_course

Materials for the Hugging Face Diffusion Models Course

inpaint-anything

Inpaint anything using Segment Anything and inpainting models.

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kispython

Курс программирования на языке Python в РТУ МИРЭА

lama_implanting

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022