Alternatives and similar repositories for TransformerFromScratch

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

• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆140Updated 10 months ago
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆248Updated last year
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆63Updated last year
• 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
  ☆104Updated 2 years ago
• Mayo-Radiology-Informatics-Lab / conflare
  This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.
  ☆21Updated last year
• NielsRogge / awesome-huggingface
  Repository containing awesome resources regarding Hugging Face tooling.
  ☆48Updated last year
• Atcold / NYU-AISP24
  NYU Artificial Intelligence Spring 2024
  ☆61Updated last year
• springer-llms-deep-dive / llms-deep-dive-tutorials
  ☆146Updated last year
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆78Updated last week
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆112Updated last year
• slds-lmu / seminar_multimodal_dl
  https://slds-lmu.github.io/seminar_multimodal_dl/
  ☆171Updated 2 years ago
• ayulockin / neurips-llm-efficiency-challenge
  Starter pack for NeurIPS LLM Efficiency Challenge 2023.
  ☆129Updated 2 years ago
• NYUMedML / DeepDementia
  ☆27Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• xbresson / CS6208_2023
  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
  ☆326Updated 2 years ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆64Updated 2 years ago
• d-kleine / NER_decoder
  Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace
  ☆46Updated 3 months ago
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆85Updated 2 years ago
• AntonioGr7 / pratical-llms
  A collection of hand on notebook for LLMs practitioner
  ☆51Updated 11 months ago
• CMU-MultiComp-Lab / mmml-tutorial
  ☆30Updated 2 years ago
• rasbt / pytorch-fabric-demo
  ☆26Updated 2 years ago
• tae898 / vae-diffusion
  ☆32Updated 5 months ago
• AI-Maker-Space / Chainlit-Event-AIM
  A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!
  ☆11Updated last year
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆129Updated 2 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆92Updated 2 years ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆397Updated last year
• anishiisc / Build_LLM_from_Scratch
  A notebook based tutorial series on buildling a LLM from scratch
  ☆25Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆115Updated 6 months ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 3 years ago
• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆121Updated last year