the-full-stack / fsdl-text-recognizer-2022-labsLinks
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
☆483Updated last year
Alternatives and similar repositories for fsdl-text-recognizer-2022-labs
Users that are interested in fsdl-text-recognizer-2022-labs are comparing it to the libraries listed below
Sorting:
- Educational materials on deep learning by Weights & Biases☆643Updated 10 months ago
- Source for https://fullstackdeeplearning.com☆1,273Updated 7 months ago
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆378Updated 2 years ago
- Software Architecture for ML engineers☆416Updated 3 years ago
- Deep Learning Fundamentals -- Code material and exercises☆397Updated last year
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,188Updated 2 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 4 years ago
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.☆241Updated 2 years ago
- [Book-2021] Practical MLOps O'Reilly Book☆906Updated 10 months ago
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆176Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 3 weeks ago
- Exercises and supplementary material for the machine learning operations course at DTU.☆736Updated last week
- Code and files to go along with CS329s machine learning model deployment tutorial.☆616Updated 3 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆297Updated last year
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022☆532Updated 2 years ago
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆476Updated 9 months ago
- A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps requir…☆166Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆626Updated 2 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆184Updated 3 years ago
- 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…☆956Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆188Updated last year
- Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offere…☆480Updated 2 years ago
- Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…☆119Updated 3 months ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆287Updated 2 months ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆676Updated last year
- Kaggle Pipeline for tabular data competitions☆205Updated last year
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆613Updated 2 months ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆496Updated 3 weeks ago