Alternatives and similar repositories for fsdl-text-recognizer-2021-labs:

Users that are interested in fsdl-text-recognizer-2021-labs are comparing it to the libraries listed below

• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆602Updated 2 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆891Updated 3 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆395Updated 2 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆333Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,207Updated 2 years ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆258Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆275Updated 3 years ago
• Building-ML-Pipelines / building-machine-learning-pipelines
  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
  ☆590Updated last year
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 2 years ago
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆283Updated last year
• FrancescoSaverioZuppichini / PyTorch-Deep-Learning-Template
  A Pytorch Computer Vision template to quick start your next project! 🚀🚀
  ☆351Updated 6 months ago
• abhishekkrthakur / tez
  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep lear…
  ☆1,164Updated 2 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆342Updated 4 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆167Updated 3 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 2 years ago
• The-AI-Summer / Deep-Learning-In-Production
  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
  ☆1,138Updated last year
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆554Updated 2 years ago
• abhishekkrthakur / mlframework
  ☆201Updated 8 months ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆391Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆349Updated 3 years ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆358Updated last year
• Machine-Learning-Tokyo / __init__
  ☆137Updated 2 years ago
• pytorch / workshops
  This is a repository for all workshop related materials.
  ☆212Updated 9 months ago
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆825Updated 3 weeks ago
• abhishekkrthakur / bert-sentiment
  ☆270Updated 2 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆158Updated 4 years ago
• graviraja / 100-Days-of-NLP
  ☆326Updated last year
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆207Updated 3 years ago
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆951Updated last year