Alternatives and similar repositories for fastai_dl2019p2

Users that are interested in fastai_dl2019p2 are comparing it to the libraries listed below

• muellerzr / fastinference_onnx
  A fastai-free onnx implementation for fastai
  ☆12Updated 2 years ago
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 5 years ago
• init27 / RTX-2080Ti-Vs-GTX-1080Ti-CIFAR-100-Benchmarks
  ☆15Updated 6 years ago
• JoshVarty / SelfSupervisedLearning
  Experiments with self-supervised learning
  ☆11Updated 5 years ago
• kechan / FastaiPlayground
  All notebook for FastAI learning purposes.
  ☆15Updated 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
• i-pan / kaggle-siim-ptx
  8th place solution for SIIM-ACR Pneumothorax Segmentation competition on Kaggle
  ☆21Updated 3 years ago
• philtrade / Ddip
  Fastai + PyTorch DDP in Jupyter Notebook
  ☆26Updated 4 years ago
• lessw2020 / Thunder-Detr
  (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets
  ☆12Updated 4 years ago
• JoshVarty / VisualizingActivations
  ☆12Updated 6 years ago
• asvcode / 1_cycle
  A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith
  ☆12Updated 6 years ago
• shabbeersh / Impact-of-FC-layers
  This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.
  ☆14Updated 5 years ago
• TheShadow29 / FAI-notes
  Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)
  ☆58Updated 6 years ago
• fredguth / fastai_playground
  Notebooks of experiences with the fastai library
  ☆11Updated 6 years ago
• lessw2020 / training-detr
  Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer
  ☆40Updated 4 years ago
• souryadey / deep-n-cheap
  AutoML framework balancing performance and complexity
  ☆15Updated 4 years ago
• titu1994 / keras-global-context-networks
  Keras implementation of Global Context Attention blocks
  ☆46Updated 6 years ago
• msalvaris / DaskMaskRCNN
  Running Mask-RCNN on Dask with PyTorch
  ☆27Updated 6 years ago
• ameya005 / Deep-Segmentation
  Deep Learning methods for semantic segmentation with weakly labelled data
  ☆16Updated 8 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 5 years ago
• lopuhin / mapillary-vistas-2017
  WIP
  ☆21Updated 7 years ago
• maciejczyzewski / batchboost
  batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.
  ☆44Updated 5 years ago
• titu1994 / keras_mixnets
  Keras Implementation of MixNets: Mixed Depthwise Convolutions
  ☆40Updated 5 years ago
• AdrienLE / loss_kaggle_2018
  Investigation of focal and dice loss for the Kaggle 2018 data science bowl.
  ☆18Updated 7 years ago
• MicPie / fastai_course_v3
  Notebooks for the fast.ai v3 course
  ☆10Updated 6 years ago
• titu1994 / Python-Work
  Python scripts to facilitate easy working
  ☆11Updated last year
• radekosmulski / tgs_salt_solution
  ☆23Updated 6 years ago
• eureka7mt / chexnet-mxnet
  A mxnet implementation of CheXNet
  ☆8Updated 7 years ago
• BloodAxe / segmentation-networks-benchmark
  Evaluation framework for testing segmentation networks in Keras
  ☆36Updated 6 years ago
• pdima / kaggle_RSNA_Pneumonia_Detection
  ☆16Updated 6 years ago