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
  ☆428Updated last year
• fastai / lm-hackers
  Hackers' Guide to Language Models
  ☆1,842Updated 5 months ago
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆888Updated last year
• rougier / ML-Recipes
  A collection of stand-alone Python machine learning recipes
  ☆667Updated 3 years ago
• enjalot / latent-scope
  A scientific instrument for investigating latent spaces
  ☆701Updated 2 weeks ago
• pchunduri6 / rag-demystified
  An LLM-powered advanced RAG pipeline built from scratch
  ☆840Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆241Updated 8 months ago
• TutteInstitute / datamapplot
  Creating beautiful plots of data maps
  ☆863Updated 3 weeks ago
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆615Updated 4 months ago
• sdan / vlite
  fast vector database made in numpy
  ☆749Updated last year
• karpathy / randomfun
  Notebooks and various random fun
  ☆1,094Updated 2 years ago
• santiagobasulto / ipython-gpt
  An ChatGPT integration for Jupyter Notebooks and the IPython Shell
  ☆591Updated last year
• wandb / wandbot
  wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk
  ☆299Updated last week
• 0hq / tinyvector
  A tiny nearest-neighbor embedding database built with SQLite and Pytorch. (In development!)
  ☆770Updated last year
• premAI-io / state-of-open-source-ai
  Clarity in the current fast-paced mess of Open Source innovation
  ☆1,563Updated 4 months ago
• rasbt / machine-learning-notes
  Collection of useful machine learning codes and snippets (originally intended for my personal use)
  ☆817Updated last year
• MilesCranmer / awesome-ml-demos
  Curated list of interactive ML demos
  ☆351Updated 2 months ago
• igorbrigadir / awesome-twitter-algo
  The release of the Twitter algorithm, annotated for recsys
  ☆487Updated 2 years ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆242Updated last year
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆613Updated 9 months ago
• stanfordnlp / string2string
  String-to-String Algorithms for Natural Language Processing
  ☆546Updated 10 months ago
• carlini / yet-another-applied-llm-benchmark
  A benchmark to evaluate language models on questions I've previously asked them to solve.
  ☆1,011Updated last month
• evanhu1 / talk2arxiv
  Talk to any ArXiv paper using ChatGPT
  ☆523Updated last year
• poloclub / wizmap
  Explore and interpret large embeddings in your browser with interactive visualization! 📍
  ☆458Updated last year
• dleemiller / WordLlama
  Things you can do with the token embeddings of an LLM
  ☆1,442Updated 2 months ago
• vtabbott / Neural-Circuit-Diagrams
  ☆165Updated last year
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆234Updated 10 months ago
• HazyResearch / meerkat
  Creative interactive views of any dataset.
  ☆838Updated 5 months ago
• dair-ai / Transformers-Recipe
  🧠 A study guide to learn about Transformers
  ☆1,590Updated last year
• VikParuchuri / zero_to_gpt
  Go from no deep learning knowledge to implementing GPT.
  ☆1,213Updated last year