Alternatives and similar repositories for ML_Resources

Users that are interested in ML_Resources are comparing it to the libraries listed below

• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆271Updated 4 years ago
• abhishekkrthakur / how-to-become-a-ds-in-30-days
  How to become a data scientist in 30 days
  ☆208Updated 4 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆617Updated 3 years ago
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆411Updated last year
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆408Updated 3 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last year
• Nachimak28 / awesome-list-of-awesomes
  A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
  ☆343Updated 2 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• hashbanger / Twitter
  Some of the best twitter threads regarding Machine Learning and Deep Learning
  ☆136Updated 2 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆114Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆277Updated 4 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆173Updated 4 years ago
• dair-ai / awesome-ML-projects-guide
  A guide to building awesome machine learning projects.
  ☆247Updated 5 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆417Updated 3 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆203Updated last year
• abhishekkrthakur / mlframework
  ☆202Updated last year
• 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…
  ☆1,160Updated 3 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• Machine-Learning-Tokyo / __init__
  ☆136Updated 3 years ago
• kabartay / openunivcourses
  FREE ML Courses from Top Universities
  ☆254Updated 4 months ago
• rafiqhasan / auto-tensorflow
  Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…
  ☆180Updated 3 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.
  ☆1,237Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2021-labs
  Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
  ☆446Updated 4 years ago
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆343Updated 3 years ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆54Updated 3 years ago
• aporia-ai / mlnotify
  🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
  ☆345Updated 3 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆910Updated 4 years ago
• primaprashant / ml-engineering-blogs
  📚 Curated list of machine learning engineering blogs.
  ☆52Updated 9 months ago
• graviraja / 100-Days-of-NLP
  ☆348Updated 2 years ago