nharbour + fast.ai   216

Tensorboard Callback for Fastai - Deep Learning - Deep Learning Course Forums
I created a fast.ai callback that logs model and training information that can be viewed in tensorboard.
Tensorboard is a visualization tool that can help debug and explore your model. Read more about it here. Tensorboa…
tensorboard  fast.ai  fastai  deep-learning 
july 2018 by nharbour
fastai/devise.ipynb at master · fastai/fastai
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
knn  nearest-neighbour  k-nearest-neighbours  deep-learning  fast.ai  nmslib 
june 2018 by nharbour
google/python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
cli  arguments  python  google  fast.ai  deep-learning 
may 2018 by nharbour
acburigo/CapsNet: CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
capsule  capsules  hinton  deep-learning  fast.ai  nlp 
march 2018 by nharbour
Cadene/pretrained-models.pytorch: Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
pretrained-models.pytorch - Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
pytorch  model  models  fast.ai  deep-learning  machine-learning 
january 2018 by nharbour
pretrained-models.pytorch/pretrainedmodels/models at master · Cadene/pretrained-models.pytorch
pretrained-models.pytorch - Pretrained ConvNets for pytorch: NASNet, ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
pytorch  models  fast.ai  deep-learning  fastai 
january 2018 by nharbour
recastrodiaz/fastai-course-1-pytorch: PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course
fastai-course-1-pytorch - PyTorch port of Rachel's and Jeremy's 1st part Machine Learning course
fast.ai  pytorch  notebooks 
november 2017 by nharbour
Statefarm kaggle comp - Part 1 - Deep Learning Course Forums
Ask questions or add your thoughts about the statefarm competition here!
kaggle  fast.ai  state-farm  winner  winners  deep-learning  state  farm 
november 2017 by nharbour
NVIDIA/cnmem: A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
cnmem - A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
cnmem  theano  deep-sleep  fast.ai 
november 2017 by nharbour
cuDNN Download | NVIDIA Developer
//--> NVIDIA cuDNN is a GPU-accelerated library of primitives for deep neural networks.
cudnn  cuda  download  deep-learning  fast.ai 
november 2017 by nharbour
Black and white images on VGG16 - Part 1 - Deep Learning Course Forums
I am working on a project that aims to solve home inventory evaluations (that is to say what is your stuff worth helping with filing homeowners insurance claims, estate planning, etc.) in part with a neural net.

Takin…
termicam  black-and-white  images  keras  fast.ai  deep-learning 
october 2017 by nharbour
Pytorch Cheatsheet - Part 1 - Deep Learning Course Forums
Over the last few weeks I've been using Pytorch exclusively for all my deep learning work. I've come to enjoy it and I think it's made me more productive. Pytorch has some great tutorials to get you started. But when you…
fast.ai  deep-learning  pytorch  cheat-sheat 
september 2017 by nharbour
Part 1 notebooks in PyTorch - Part 1 - Deep Learning Course Forums
Use this thread for any questions or comments on lesson 1!

Here is the video: https://vimeo.com/188790099 . Password: dl_course . (Please don't share the video publicly - we'll be producing it properly after the course…
pytorch  tutorial  fast.ai  deep-learning 
september 2017 by nharbour
CNN activation visualizations - Part 2 - Deep Learning Course Forums
Here are some CNN activations for Starry Night. If you've visualized activations, please post some here so others can see.

You can click an image to zoom in. You can click the zoomed-in image to zoom in once more.

In…
visualise  visualisation  cnn  imagenet  eigenvector  eigenvectors  deep-learning  fast.ai 
september 2017 by nharbour
Looking for resources on object detection - Part 1 - Deep Learning Course Forums
Use this thread for any questions or comments on lesson 1!

Here is the video: https://vimeo.com/188790099 . Password: dl_course . (Please don't share the video publicly - we'll be producing it properly after the course…
object-detection  deep-learning  fast.ai 
september 2017 by nharbour
Automated AWS spot instance provisioning with persisting of data
After following this guide, you will be able to spin up an AWS EC2 spot instance by executing a single command from your terminal. The instance will have a volume attached that will be persisted…
spot-instance  fast.ai  machine-learning  aws  script 
september 2017 by nharbour
« earlier      
per page:    204080120160

related tags

academic  adam  adamw  age  ai  algorithm  algorithms  alternative  ami  anaconda  analysis  anime  answer  api  arguments  art  attention  augmentation  autoencoder  autograd  averaging  awd-lstm  aws  bandwidth  beam  beam-search  benchmark  benjamin-franklin  bias  black-and-white  blog  blogging  book  bot  bots  box  browser  budget  build  calories  cam  capsule  capsules  car  career  case  cat  categorical  cats  cats-dogs  changelong  chatbot  cheap  cheat-sheat  class-activation  classification  classifier  cli  cluster  clustering  cnmem  cnn  code  collaborative  collaborative-filtering  compact  comparison  competition  conda  content  content-samurai  convert  convolutional  cooling  copy-writing  core-ml  coreml  corpus  course  coursera  courses  cpu  creation  cross-entropy  crowdsourcing  cuda  cudnn  dae  data  data-augmentation  data-set  database  dataset  datasets  dawnbench  deep-learning  deep-sleep  degree  denoising  deploy  deployment  discourse  docker  dockerfile  dogs  dogs-cats  download  driver  dropbox  ebook  ec2  education  eigenvector  eigenvectors  embedded  embedding  emoji  emotions  ensemble  epub  ethics  examples  explained  export  face  facebook  faces  fake-news  fan  faq  farm  fast.ai  fastai  feature  feature-engineering  features  filtering  flask  food  framework  free  gaming  gan  gce  gdrive  gender  generative-adversarial-networks  generator  git  github  google  gpu  gradient-boosting  gtx-1070  gtx-1080-ti  hardware  health  heat-map  heatmap  hinton  hn  image  image-classification  image-processing  image-recognition  imagenet  images  inference  install  installation  interpretability  introduction  issue  javascript  jeff-dean  jetson  jigsaw  job  journal  journals  jupyter  jupyter-notebook  k-means  k-nearest-neighbours  kaggle  keras  keras-2  keyword-extraction  knn  kubernetes  language  language-modeling  layers  learning  learning-rate  lecture  leo  library  link  linux  list  livecoding  lm  load  lstm  mac  machine  machine-learning  macosx  marketing  math  mechanical-turk  metaphor  mnist  model  models  mooc  motherboard  movie  movies  multi-modal  multi-threading  multiple  multiple-gpu  multitasking  mutithreaded  naive-bayes  nearest-neighbour  neural-network  neural-style-transfer  nlp  nmslib  node.js  normalization  notebooks  notes  now.js  now.sh  nvideo  nvidia  object-detection  occlusion  ocr  open-source  openai  opencv  opensource  optimizer  optimizers  organise  organiser  osx  outline  overfitting  papers  parameter  parser  part-2  parts  parts-list  pc  pci  pci-express  pcie  pdf  performance  pil  pillow  platform  playlist  podcast  production  programming  purpose  python  python-3  pytorch  qna  qrnn  question  question-answer  rack  rack-mount  rankgauss  reading  recommendation  recommendations  recurrent-neural-networks  reddit  resources  rig  rnn  roy  ruder  sae  sagemaker  sales  sales-force  script  sdae  search  search-engine  self-driving  sentence  sentiment  seq2seq  server  service  serving  setup  sff  share-trading  shares  shopping-list  simpsons  single-shot  software  spam  spell-check  spelling  spot-instance  ssd  state  state-farm  state-of-art  statistics  stock-prices  stock-trading  strea  streaming  structure  structured-data  summarisation  summarise  summariser  summarization  summary  super-convergence  svm  swa  syllabus  syntax  system  systemd  tasks  teaching  technique  techniques  tensorboard  tensorflow  termicam  testing  text  text-classification  textrank  tf-learn  theano  thermal-paste  tips  torch  tower  training  translate  translation  tuning  tutorial  tweets  twitter  tx2  ubuntu  udacity  unit-test  unit-testing  universe  unsupervised  unsupervised-learning  vectors  verge  vggcam  video  visualisation  visualise  vs  weight  weights  why  wikipedia  winner  winners  word-embeddings  word-vectors  word2vec  xgboost  youtube 

Copy this bookmark:



description:


tags: