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
  ☆268Updated 3 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆274Updated 3 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆405Updated 3 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆200Updated 11 months ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆170Updated 3 years ago
• abhishekkrthakur / how-to-become-a-ds-in-30-days
  How to become a data scientist in 30 days
  ☆215Updated 3 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆408Updated 2 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆606Updated 2 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated 11 months ago
• rasbt / stat451-machine-learning-fs21
  ☆150Updated 3 years ago
• aniketmaurya / chitra
  A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
  ☆227Updated last month
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆306Updated last month
• Machine-Learning-Tokyo / __init__
  ☆138Updated 2 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 3 years ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆711Updated 8 months ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆578Updated 2 years ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆52Updated 2 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆111Updated 3 years ago
• ThinamXx / MachineLearning_DeepLearning
  I will share about Machine Learning and Deep Learning.
  ☆113Updated 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…
  ☆1,164Updated 2 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆184Updated 6 months ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆110Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆409Updated last year
• muellerzr / Practical-Deep-Learning-for-Coders-2.0
  Notebooks for the "A walk with fastai2" Study Group and Lecture Series
  ☆747Updated 3 years ago
• abhishekkrthakur / mlframework
  ☆203Updated 11 months ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆392Updated 3 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  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…
  ☆183Updated 3 years ago