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applied-ml

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

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

aws-ml-specialty-projects-book

beginning-anomaly-detection-using-python-based-dl

Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari

causallib

A Python package for modular causal inference analysis and model evaluations

condition-monitoring-

data-engineering-zoomcamp

Free Data Engineering course!

data-science

data-science-

data-science-hard-parts-code

This is the code repo for the O'Reilly book "Data Science: The Hard Parts"

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

django-practical-guide-course-code

This repository holds the source code snapshots for our "Django - The Practical Guide" course (https://acad.link/django)

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

fault-detection-for-predictive-maintenance-in-industry-4.0

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

finvo

This repository was created by Flatlogic Platform.

flatlogic

kubeflow_advanced_pipeline

Support repo for kubeflow advanced pipeline article

kubernetes

Production-Grade Container Scheduling and Management

llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

omdenaai-dryad_deplyment

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

pump_sensor

Predicting really rare positives - a notebook on the pump_sensor data from kaggle. Including both simple indicator based approaches as well as machine learning.

pytorch-transformer-for-rul-prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

react-complete-guide-code

Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)

reinforcement-learning

sagemaker-examples

seif2020

Config files for my GitHub profile.

task2_image_recognition

A project for using AWS AI image recognition service using the API and serverless architecture

twitter-data-wrangling

A project to gather ,wrangle and clean the tweets