Alternatives and similar repositories for vugrad

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

• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated 2 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 4 years ago
• oke-aditya / quickvision
  An Easy To Use PyTorch Computer Vision Library
  ☆53Updated 2 years ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 4 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 5 years ago
• Machine-Learning-Tokyo / Annotation_Tools
  Open Source Annotation Tools for Computer Vision and NLP tasks
  ☆56Updated 4 years ago
• rasbt / cyclemoid-pytorch
  Cyclemoid implementation for PyTorch
  ☆90Updated 3 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• lessw2020 / Thunder-Detr
  (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets
  ☆12Updated 5 years ago
• r0mainK / outperformer
  Code for scaling Transformers
  ☆26Updated 5 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago
• elliotwaite / pytorch-hooks-tutorial
  Examples of using PyTorch hooks, as covered in my YouTube tutorial video.
  ☆38Updated 2 years ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆85Updated 4 years ago
• prajjwal1 / fluence
  A deep learning library based on Pytorch focussed on low resource language research and robustness
  ☆70Updated 4 years ago
• stanislavfort / adversaries_to_convnext
  Adversarial examples to the new ConvNeXt architecture
  ☆20Updated 3 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 5 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• nd7141 / icml2020
  Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.
  ☆56Updated 5 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• esceptico / squeezer
  Lightweight knowledge distillation pipeline
  ☆28Updated 4 years ago
• sgugger / hf_examples
  NLP Examples using the 🤗 libraries
  ☆40Updated 4 years ago
• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆34Updated 2 years ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 5 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆85Updated 3 years ago
• s-nlp / annotated-transformer
  http://nlp.seas.harvard.edu/2018/04/03/attention.html
  ☆62Updated 4 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆33Updated 2 years ago
• ch3njust1n / papers_are_all_you_need
  Search and download accepted papers from machine learning conferences
  ☆34Updated 2 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 5 years ago
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 5 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 5 years ago