Alternatives and similar repositories for what_are_embeddings

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

• veekaybee / viberary
  Good books, good vibes
  ☆430Updated last year
• evanmiller / LLM-Reading-List
  LLM papers I'm reading, mostly on inference and model compression
  ☆737Updated last year
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆893Updated last year
• rasbt / scipy2023-deeplearning
  ☆601Updated last year
• igorbrigadir / awesome-twitter-algo
  The release of the Twitter algorithm, annotated for recsys
  ☆490Updated 2 years ago
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆235Updated last year
• pchunduri6 / rag-demystified
  An LLM-powered advanced RAG pipeline built from scratch
  ☆845Updated last year
• sdan / vlite
  fast vector database made in numpy
  ☆749Updated last year
• fastai / lm-hackers
  Hackers' Guide to Language Models
  ☆1,851Updated 7 months ago
• enjalot / latent-scope
  A scientific instrument for investigating latent spaces
  ☆718Updated 2 months ago
• rougier / ML-Recipes
  A collection of stand-alone Python machine learning recipes
  ☆667Updated 4 years ago
• NannyML / The-Little-Book-of-ML-Metrics
  The book every data scientist needs on their desk.
  ☆963Updated 5 months ago
• stas00 / the-art-of-debugging
  The Art of Debugging
  ☆912Updated last year
• SumanthRH / tokenization
  A comprehensive deep dive into the world of tokens
  ☆225Updated last year
• TutteInstitute / datamapplot
  Creating beautiful plots of data maps
  ☆921Updated last week
• cohere-ai / notebooks
  Code examples and jupyter notebooks for the Cohere Platform
  ☆505Updated 6 months ago
• evanhu1 / talk2arxiv
  Talk to any ArXiv paper using ChatGPT
  ☆527Updated last year
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆632Updated 6 months ago
• rasbt / machine-learning-notes
  Collection of useful machine learning codes and snippets (originally intended for my personal use)
  ☆823Updated last year
• MilesCranmer / awesome-ml-demos
  Curated list of interactive ML demos
  ☆353Updated 4 months ago
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆366Updated 4 months ago
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆613Updated 11 months ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆392Updated last year
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆247Updated last year
• mlip-cmu / s2025
  ☆214Updated 3 months ago
• kuleshov / cornell-cs5785-2024-applied-ml
  Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)
  ☆494Updated 7 months ago
• elicit / machine-learning-list
  A curriculum for learning about foundation models, from scratch to the frontier
  ☆1,346Updated last year
• illustrated-machine-learning / illustrated-machine-learning.github.io
  Website containing illustrations about Machine Learning theory!
  ☆633Updated 2 years ago
• 0hq / tinyvector
  A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)
  ☆772Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆476Updated last year