Alternatives and similar repositories for Echo

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

• oguiza / fastai_extensions
  Code you can use jointly with fastai
  ☆93Updated 4 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• abhishekkrthakur / sandesh
  A simple app to send messages to Slack channels / members using webhook
  ☆55Updated 2 years ago
• PPPW / deep-learning-random-explore
  ☆194Updated 6 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆85Updated 3 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 6 years ago
• sayakpaul / SimSiam-TF
  Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.
  ☆98Updated 4 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• TheShadow29 / FAI-notes
  Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)
  ☆58Updated 7 years ago
• abhishekkrthakur / ml_dev_env
  Machine Learning / Deep Learning Environment. Everywhere. Anywhere.
  ☆51Updated 5 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• catalyst-team / segmentation
  Catalyst.Segmentation
  ☆28Updated 4 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 5 years ago
• CleanPegasus / coffeeshop
  A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch
  ☆61Updated 5 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 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
• haven-ai / haven-ai
  To Run, Manage and Visualize Large Scale Experiments
  ☆172Updated 2 years ago
• kheyer / ML-DL-Projects
  Personal projects using machine learning and deep learning techniques
  ☆75Updated 6 years ago
• earthspecies / cornell-birdcall-competition-starter-pack
  Cornell Birdcall Identification (a Kaggle competition) starter pack
  ☆53Updated 2 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 4 years ago
• nestordemeure / ManifoldMixup
  Manifold-Mixup implementation for fastai V1
  ☆19Updated 5 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 4 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• shawwn / colab-tricks
  Tricks for Colab power users
  ☆168Updated 5 years ago
• sayakpaul / PAWS-TF
  Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
  ☆45Updated 4 years ago
• iArunava / scratchai
  scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
  ☆97Updated last year
• oke-aditya / pytorch_cnn_trainer
  A Simple but Powerful CNN Trainer For PyTorch
  ☆26Updated 4 years ago
• muellerzr / fastai-Experiments-and-tips
  My experiments and progress within various fastai applications
  ☆56Updated 5 years ago
• CleanPegasus / TensorDash
  TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training …
  ☆173Updated 2 years ago