🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

This repository contains demos I made with the Transformers library by HuggingFace.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Attention Is All You Need | a PyTorch Tutorial to Transformers

Tutorial for Porting PyTorch Transformer Models to Candle (Rust)

MinT: Minimal Transformer Library and Tutorials

The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.

KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼

A collection of tutorials and notebooks explaining transformer models in deep learning.

Learn NLP Tutorials with HuggingFace Transformers

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Metaflow tutorials for ODSC West 2021

Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa

spaCy tutorial in English and Japanese. spacy-transformers, BERT, GiNZA.

Tutorial on monad transformers

Materials for EACL2024 tutorial: Transformer-specific Interpretability

Tutorial for Harvard Medical School ML from Scratch Series: Transformer from Scratch. Demo the usage of transformer in various domains: Music sheet, audio signal, image generation & discrimination

Transformers for Mathematics Tutorial | Simons/SLMath Workshop on AI for Mathematics 2025

Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

A collection of 19 generative AI projects in Python, showcasing applications in text generation, image synthesis, and chatbots using frameworks like Transformers and PyTorch. Includes datasets, code, and tutorials for building and deploying cutting-edge AI models.

Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFace Transformers framework in the hands-on tutorials.

huggingface transformers tutorial, code, resources

a tutorial for training a PyTorch transformer from scratch

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Sample tutorials for training Natural Language Processing Models with Transformers

A collection of Python-based NLP projects exploring text processing, sentiment analysis, and language modeling using libraries like NLTK, SpaCy, and Transformers. Includes hands-on implementations with datasets and tutorials for building and evaluating NLP models.

The code for the video tutorial series on building a Transformer from scratch: https://www.youtube.com/watch?v=XR4VDnJzB8o

A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.

⛩ All about Korean Transformers (information and tutorial)