chrischute / papers

Related projects: ⓘ

• vcl-iisc / ZSKD
  Zero-Shot Knowledge Distillation in Deep Networks
  ☆64Updated 2 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• aniket03 / pirl_pytorch
  Implementation of Pre-text invariant representation learning algorithm in pytorch
  ☆11Updated 4 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 5 years ago
• yulongwang12 / visual-attribution
  Pytorch Implementation of recent visual attribution methods for model interpretability
  ☆144Updated 4 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆31Updated 6 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 4 years ago
• TheShadow29 / FAI-notes
  Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)
  ☆58Updated 5 years ago
• sun254 / awesome-transfer-learning
  a list of recent papers on transfer learning
  ☆24Updated 6 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• ruthcfong / perturb_explanations
  Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"
  ☆31Updated 4 years ago
• mldbai / tensorflow-models
  Models built with TensorFlow
  ☆26Updated 7 years ago
• vikramnitin9 / adversarial-learning-literature
  ☆37Updated 4 years ago
• Chillee / OpenReviewExplorer
  Explore OpenReview papers for ICLR (with citation counts, acceptance status, and ratings)!
  ☆86Updated 3 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆57Updated 4 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 5 years ago
• tanyuqian / learning-data-manipulation
  NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting
  ☆107Updated 4 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆29Updated 6 years ago
• dais-ita / interpretability-papers
  Papers on interpretable deep learning, for review
  ☆27Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 4 years ago
• watsonyanghx / Image-Text-Papers
  Image Caption and Text to Image papers.
  ☆68Updated 6 years ago
• SKKSaikia / CS236_DGM
  ☆93Updated this week
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆37Updated 3 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 5 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 3 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆128Updated 4 years ago
• jtloong / sg2im-demo
  A web based demo of Google's sg2im neural network to convert a scene graph to a photorealistic image.
  ☆35Updated 5 years ago
• pedrodiamel / nettutorial
  Deep learning tutorial
  ☆29Updated 6 years ago
• facebookresearch / fair-sslime
  FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)
  ☆69Updated 3 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 4 years ago