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
  ☆426Updated last year
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆873Updated 9 months ago
• igorbrigadir / awesome-twitter-algo
  The release of the Twitter algorithm, annotated for recsys
  ☆487Updated last year
• AnswerDotAI / shell_sage
  ShellSage saves sysadmins’ sanity by solving shell script snafus super swiftly
  ☆264Updated 2 weeks ago
• enjalot / latent-scope
  A scientific instrument for investigating latent spaces
  ☆624Updated this week
• chiphuyen / aie-book
  [WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
  ☆1,936Updated this week
• NannyML / The-Little-Book-of-ML-Metrics
  The book every data scientist needs on their desk.
  ☆869Updated this week
• TutteInstitute / datamapplot
  Creating beautiful plots of data maps
  ☆816Updated last week
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆218Updated 5 months ago
• dleemiller / WordLlama
  Things you can do with the token embeddings of an LLM
  ☆1,411Updated last week
• imelnyk / ArxivPapers
  Code behind Arxiv Papers
  ☆490Updated 9 months ago
• sdan / vlite
  fast vector database made in numpy
  ☆750Updated 8 months ago
• pchunduri6 / rag-demystified
  An LLM-powered advanced RAG pipeline built from scratch
  ☆816Updated 11 months ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆240Updated 8 months ago
• evanmiller / LLM-Reading-List
  LLM papers I'm reading, mostly on inference and model compression
  ☆706Updated last year
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆327Updated last month
• xbresson / GML2023
  Graph Machine Learning course, Xavier Bresson, 2023
  ☆594Updated 4 months ago
• MinishLab / model2vec
  The Fastest State-of-the-Art Static Embeddings in the World
  ☆579Updated this week
• PaulPauls / llama3_interpretability_sae
  A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and full…
  ☆605Updated last month
• qdrant / fastembed
  Fast, Accurate, Lightweight Python library to make State of the Art Embedding
  ☆1,671Updated this week
• mistralai / cookbook
  ☆1,403Updated last week
• VikParuchuri / zero_to_gpt
  Go from no deep learning knowledge to implementing GPT.
  ☆1,106Updated 7 months ago
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆752Updated this week
• koaning / bulk
  A Simple Bulk Labelling Tool
  ☆561Updated 2 weeks ago
• huggingface / smollm
  Everything about the SmolLM & SmolLM2 family of models
  ☆1,554Updated last week
• google-deepmind / uncertain_ground_truth
  Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…
  ☆642Updated 9 months ago
• samvher / bert-for-laptops
  A BERT that you can train on a (gaming) laptop.
  ☆210Updated last year
• vtabbott / Neural-Circuit-Diagrams
  ☆155Updated 7 months ago
• rasbt / scipy2023-deeplearning
  ☆598Updated last year