Alternatives and similar repositories for PetGPT

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

• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 3 weeks ago
• Hadar933 / Intro-to-Deep-Learning
  Lecture notes & Exercises
  ☆45Updated 3 years ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆59Updated 2 years ago
• IvanReznikov / bk_clustering
  Burj Khalifa Clustering method
  ☆53Updated 2 years ago
• TalalAhmed311 / Attention-is-all-you-Need
  ☆25Updated 2 years ago
• Bellman281 / Stat4ML
  Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
  ☆82Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• chelseaparlett / CPSC393ParlettPelleriti
  ☆108Updated last year
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆78Updated 10 months ago
• tunguz / TabularBenchmarks
  ☆203Updated last month
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 10 months ago
• huggingface / workshops
  Materials for workshops on the Hugging Face ecosystem
  ☆150Updated 2 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆69Updated 2 years ago
• PrithivirajDamodaran / ZSIC
  Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using…
  ☆49Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆73Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 3 years ago
• shiernee / Advanced_ML
  ☆89Updated 2 years ago
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆71Updated 2 years ago
• csinva / imodelsX
  Interpret text data with LLMs (sklearn compatible).
  ☆172Updated 2 months ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆169Updated last year
• pyhopper / pyhopper
  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.
  ☆85Updated last year
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 3 years ago
• deep-diver / semantic-segmentation-ml-pipeline
  Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
  ☆96Updated 2 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆76Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated 3 weeks ago