A curated list of references for MLOps

The Fuzzy Labs guide to the universe of open source MLOps

An end-to-end implementation of intent prediction with Metaflow and other cool tools

Free MLOps course from DataTalks.Club

Follow along with blog posts, code samples, and practical exercises to learn how to build serverless applications from your local Integrated development environment (IDE).

Serverless patterns.

Managing your machine learning lifecycle with MLflow and Amazon SageMaker

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Run YOLOv4 models using OpenCV DNN module.

Github repo to upload demo files of youtube videos and linkedin

Entirety.ai Intuition to Implementation Meetup Content.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

TensorFlow Tutorial

Simple face alignment library by using face_recognition and opencv

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Training neural models with structured signals.

Interactive Tools for Machine Learning, Deep Learning and Math

VIP cheatsheets for Stanford's CS 230 Deep Learning

A Keras/TensorFlow implementation of RICAP (Random Image Cropping And Patching)

A paper list of object detection using deep learning.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Facial Recognition using OpenCV implementation of Facenet and SVM

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Deep Learning Examples

A repository of codes and experiments while learning and exploring deep learning by online courses and work