Alternatives and similar repositories for maps_webapp

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

• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 3 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• wdhorton / protein-atlas-fastai
  Code for training a Resnet model for the Human Protein Atlas Image Classification competition
  ☆50Updated 7 years ago
• muellerzr / fastai2_tabular_hybrid
  Developing and integrating methods for fastai2 tabular with other datatypes
  ☆26Updated 3 years ago
• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆69Updated 5 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 6 years ago
• henripal / maps
  fun with satellite images of cities
  ☆41Updated 7 years ago
• fastai / fastai3
  Research repo for code that may or may not end up in fastai3
  ☆50Updated 4 years ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆88Updated 3 years ago
• fastai / fastdot
  A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
  ☆63Updated 3 years ago
• philtrade / Ddip
  Fastai + PyTorch DDP in Jupyter Notebook
  ☆27Updated 5 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• earthspecies / cornell-birdcall-competition-starter-pack
  Cornell Birdcall Identification (a Kaggle competition) starter pack
  ☆53Updated 2 years ago
• alxndrkalinin / angiodysplasia-segmentation
  Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
  ☆16Updated 6 years ago
• fg91 / Neural-Image-Caption-Generation-Tutorial
  ☆66Updated 5 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆25Updated 5 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 5 years ago
• nestordemeure / ManifoldMixup
  Manifold-Mixup implementation for fastai V1
  ☆19Updated 5 years ago
• jandremarais / TabularLearner
  Repo for work on deep learning for tabular data
  ☆15Updated 5 years ago
• nikhilno1 / healthy-or-not
  ☆24Updated 5 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 5 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 7 years ago
• ohmeow / seq2seq-pytorch-fastai
  Explorations in building seq2seq models using PyTorch and fast.ai
  ☆14Updated 6 years ago
• morganmcg1 / ntentional
  The ntentional blog - a machine learning journey
  ☆23Updated 3 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago