milan-chicago Goto Github PK

deep_autoviml

Build tensorflow keras model pipelines in a single line of code. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

diagrams

:art: Diagram as Code for prototyping cloud system architectures

dialogflow-custom-webhook-template

A template for the easy creation of a custom Dialogflow Webhook to handle fulfillment.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

docker

Docker Introduction and basics

docs

TensorFlow documentation

documentanalysis

Topic Models On Documents

dogstring-action

GitHub Action that generates your Python docstrings!

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ds-guide

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

educational

end-to-end-automl-insurance

End-to-End AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

engineering.labs

The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info

epijudge

EPI Judge - Preview Release

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

evidently

Interactive reports to analyze machine learning models during validation or production monitoring.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

explainable-ai-examples

AI explainability is a big topic in the tech world right now, & experts have been working to create ways for machines to start explaining what they are doing. So I am compiling all great examples of tools used to help with AI explainability.

face_mask_detection

Detecting face mask with CNN architecture and transfer learning with Imagnet

facet

Human-explainable AI.

facets

Visualizations for machine learning datasets

fastai

The fastai deep learning library, plus lessons and and tutorials

fastai-1

I will implement Fastai in each projects present in this repository.

flaml

A fast and lightweight AutoML library.

flask-ml-pipeline_gcp-tutorial

fourthbrain-ai-academy

16 Week Boot Camp reviewing the core ML concepts and learning how to scale and deploy models and ending with an industry sponsored capstone project and presentation. Tools used: ML Deployment with Flask, FastApi, AWS Sagemaker and Ec2 instances, ML deployment on PaaS (Heroku on AWS, AWS Beanstalk) vs Iaas (AWS Elastic computing or Ec2), Python, Tensorflow, Keras, pandas, scikit-learn, Pillow, OpenCV, Matplotlib.

free-programming-books

:books: Freely available programming books