marcin-laskowski Goto Github PK

ai-image-caption-bot

The goal of the project was to develop a model that generates a caption that best describes the input image.This initiative can aid with Google Image search, self-driving automobiles, and providing assistance to the blind. Python is used to create the project. The project was built using the Keras (Tensor flow), numpy, matplotlib, and pandas libraries. Flask was utilised as the framework.

animal-classifier

autoencoders

Implementation of differnet types of autoencoders in PyTorch

autokeras

AutoKeras is open source software library for automated machine learning (AutoML).

awesome-chatgpt-plugins

A curated list of ChatGPT plugins.

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-mlops-1

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

azure

Azure

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

black-and-white

brain-machine-interface

The design a neural decoder designed to drive a hypothetical prosthetic device

clip

cloud_build

Continuous deployment with Cloud Build on GKE

container-builder

cookbook

The use of web scraping to extract data from the culinary page.

data-lit

Data Science fundamentals applied to real-world problems that Data Scientists help solve.

data-science-project-template

Project Template for Data Science

deep-convolution-generative-adversarial-networks

The implementation of the Deep Convolution Generative Adversarial Networks in PyTorch

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

dll

docker

docker cheat sheet

engines

exploring-design-spaces

The goal of the project is to explore the design spaces using neural networks, which will be able to predict the functional behavior of the object.

feature-engineering

Automated Machine Learning Feature Engineering in Python

food_recognition

gaussian-mixture-models

Gaussian Mixture Models

generative-adversarial-networks

Generative Adversarial Networks in PyTorch

gpt2-image-captioning