Alternatives and similar repositories for workshops

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

• rasbt / LLM-finetuning-scripts
  ☆218Updated last year
• philschmid / huggingface-sagemaker-workshop-series
  Enterprise Scale NLP with Hugging Face & SageMaker Workshop series
  ☆242Updated 3 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆170Updated 3 years ago
• huggingface / education-toolkit
  Educational materials for universities
  ☆378Updated 2 years ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• imohitmayank / a_lazy_data_science_guide
  A guide book on data science for busy and equally lazy Data Scientists 😄
  ☆138Updated last month
• hamelsmu / wandb-cicd
  ☆49Updated 2 years ago
• Sakil786 / -meta_llama_2finetuned_text_generation_summarization
  meta_llama_2finetuned_text_generation_summarization
  ☆21Updated 2 years ago
• muellerzr / minimal-trainer-zoo
  Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines
  ☆196Updated last year
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆83Updated last year
• rasbt / blog-finetuning-llama-adapters
  Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"
  ☆47Updated 2 years ago
• kuutsav / information-retrieval
  Neural information retrieval / Semantic search / Bi-encoders
  ☆175Updated 2 years ago
• deshwalmahesh / DataScience-StudyMaterial
  Just some stuff for Interview questions, books, annotated paper, notes, cheat sheets etc etc related to ML,AI, Deep Learning and Data Sc…
  ☆123Updated 5 months ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated last month
• sayakpaul / deploy-hf-tf-vision-models
  This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.
  ☆30Updated 3 years ago
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆116Updated last year
• patrickvonplaten / notebooks
  Some notebooks for NLP
  ☆207Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆96Updated 3 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆174Updated 4 years ago
• huggingface / large_language_model_training_playbook
  An open collection of implementation tips, tricks and resources for training large language models
  ☆495Updated 2 years ago
• ayulockin / neurips-llm-efficiency-challenge
  Starter pack for NeurIPS LLM Efficiency Challenge 2023.
  ☆129Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• huggingface / community-events
  Place where folks can contribute to 🤗 community events
  ☆427Updated 2 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆138Updated 2 years ago
• Aggregate-Intellect / sherpa
  ☆171Updated 2 months ago
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆188Updated 2 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆74Updated 3 weeks ago
• brandokoch / attention-is-all-you-need-paper
  Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…
  ☆243Updated last year
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆662Updated last year