Alternatives and similar repositories for ML_algorithms:

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

• edwardleardi / mle-ds-swe-cheat-sheets
  ☆306Updated 2 years ago
• wilhelmberghammer / MachineLearning
  [Not Active] This is where I learn machine learning
  ☆47Updated 3 years ago
• anish-lakkapragada / SeaLion
  The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
  ☆334Updated last year
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆169Updated 3 years ago
• mihail911 / fake-news
  Building a fake news detector from initial ideation to model deployment
  ☆152Updated this week
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• walkwithfastai / walkwithfastai.github.io
  Host for https://walkwithfastai.com
  ☆146Updated 9 months ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆205Updated 3 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆463Updated 4 years ago
• MarwanDebbiche / post-tuto-deployment
  Build and deploy a machine learning app from scratch 🚀
  ☆391Updated last year
• geekjr / quickai
  QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
  ☆163Updated 6 months ago
• addy1997 / Machine_Learning_Resources
  A repo with curated list of ML libraries, packages, framework, etc.
  ☆60Updated 4 years 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…
  ☆181Updated 2 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated 11 months ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 4 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆268Updated 3 years ago
• will-thompson-k / tldr-transformers
  The "tl;dr" on a few notable transformer papers (pre-2022).
  ☆190Updated 2 years ago
• DarshanDeshpande / Scrapera
  A universal package of scraper scripts for humans
  ☆310Updated 2 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 7 months ago
• LaihoE / did-it-spill
  Check if you have training samples in your test set
  ☆64Updated 2 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 3 years ago
• magi-1 / bonsai
  Gradient Boosted Trees + Bayesian Optimization
  ☆25Updated 3 years ago
• ayulockin / wandb2kaggle
  Automatically upload the model saved as W&B Artifact to Kaggle Dataset.
  ☆23Updated 3 years ago
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆409Updated last year
• Machine-Learning-Tokyo / __init__
  ☆138Updated 2 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆133Updated last month
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆307Updated 2 weeks ago
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆38Updated 2 years ago
• ansegura7 / Algorithms
  Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…
  ☆131Updated 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.
  ☆339Updated last year