Alternatives and similar repositories for Transformer-Models-from-Scratch

Users that are interested in Transformer-Models-from-Scratch are comparing it to the libraries listed below

• EfficientDL / book
  PDFs and Codelabs for the Efficient Deep Learning book.
  ☆201Updated 2 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• ShivamRajSharma / Transformer-Architectures-From-Scratch
  Implementation of transformers based architecture in PyTorch.
  ☆54Updated 4 years ago
• Montinger / Transformer-Workbench
  Playground for Transformers
  ☆53Updated last year
• dsaidgovsg / multimodal-learning-hands-on-tutorial
  ☆101Updated 3 years ago
• The-AI-Summer / pytorch-ddp
  code for the ddp tutorial
  ☆32Updated 3 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆86Updated 3 years ago
• dlg4nlp / dlg4nlp.github.io
  This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.
  ☆13Updated 3 years ago
• PacktPublishing / Deep-Learning-with-PyTorch-Lightning
  Getting Started with PyTorch Lightning, Published by Packt
  ☆161Updated 2 weeks ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 4 years ago
• rasbt / faster-pytorch-blog
  Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
  ☆129Updated 2 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• huggingface / paper-style-guide
  ☆73Updated 3 years ago
• PacktPublishing / Distributed-Machine-Learning-with-Python
  Distributed Machine Learning with Python, published by Packt
  ☆41Updated 2 weeks ago
• THUDM / Tsinghua-ML-Course
  Course Materials for ML Course at Tsinghua
  ☆26Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• Ritvik19 / pyradox
  State of the Art Neural Networks for Deep Learning
  ☆62Updated 3 years ago
• zlpure / cs224w
  My Solution to Assignments of CS234(Stanford / Fall 2019)
  ☆15Updated 5 years ago
• ddbourgin / em
  Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial
  ☆41Updated 6 years ago
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆24Updated 4 years ago
• CMU-MultiComp-Lab / mmml-course
  ☆93Updated last year
• balavenkatesh3322 / model_deployment
  A collection of model deployment library and technique.
  ☆72Updated 5 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆16Updated 5 years ago
• wuch15 / Fastformer
  A pytorch &keras implementation and demo of Fastformer.
  ☆189Updated 3 years ago
• YeonwooSung / Pytorch_mixture-of-experts
  PyTorch implementation of moe, which stands for mixture of experts
  ☆48Updated 4 years ago
• knotgrass / attention
  several types of attention modules written in PyTorch for learning purposes
  ☆52Updated 11 months ago
• loveisp / KDD_2024_AQA
  KDD 2024 AQA competition 2nd place solution
  ☆11Updated last year
• shiernee / Advanced_ML
  ☆86Updated 2 years ago
• ironartisan / awesome-compression1
  模型压缩的小白入门教程
  ☆22Updated last year
• neelindresh / pymlpipe
  ☆64Updated 2 years ago