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-mastering-data-storage-in-python

🐍 Mastering Data Storage in Python

-practical-deep-learning-on-the-cloud

Practical Deep Learning on the Cloud, published by Packt

100daysofcontainersandorchestration

Your go-to open source repo to learn containers (Docker, Podman, etc.) and Orchestration (Kubernetes, ECS, etc.) from start to finish.

acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

advance-bayesian-modelling-with-pymc3

aequitas

Bias and Fairness Audit Toolkit

agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

ai-demos

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai-gen-diffusers-models-for-videos

Utilisation de low code pour générer des courtes videos avec des modeles de diffusion

ai-platform-samples

Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples

ai_trading

An all in one project where supervised, unsupervised and deep learning come together to predict the price of stocks

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

airbyte

Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-docker

Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)

aix360

Interpretability and explainability of data and machine learning models

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

aletheia

A Python package for unwrapping ReLU DNNs

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

alibi

Algorithms for explaining machine learning models

altair_notebooks

Tutorial and Examples Jupyter Notebooks for Altair

amazon-comprehend-examples

A sample set of notebooks demonstrating Amazon Comprehend capabilities.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-predictive-maintenance-deployed-at-edge

This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.

animegan2-pytorch

PyTorch implementation of AnimeGANv2

ann-experiments

Use ML-FLOW and TensorFlow2.0(Keras) to record all the experiments on the Fashion MNIST dataset.

apiconnectors

A curated list of example code to collect data from Web APIs using DataPrep.Connector.

applied-deep-learning-and-computer-vision-for-self-driving-cars

Applied Deep Learning and Computer Vision for Self-Driving Cars, published by Packt

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.