Alternatives and similar repositories for analyzeNN:

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

• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 7 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• singlasahil14 / orthogonal-convolution
  Github repo for my experiments with the orthogonal convolution idea
  ☆22Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• Lucas2012 / ProbabilisticNeuralProgrammedNetwork
  Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018
  ☆40Updated 8 months ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• shiyangdaisy23 / vqa-mxnet-gluon
  ☆16Updated 7 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• blengerich / explainable-cnn
  Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
  ☆13Updated 7 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• mathieuaubry / features_analysis
  Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…
  ☆20Updated last year
• sidkk86 / weight_initialization
  Code for replicating results in 'On Weight Initializations in Deep Neural Networks'
  ☆10Updated 7 years ago
• mrgloom / Transfer-Learning
  tags: transfer learning, domain adaptation, finetuning, one-shot learning, zero-shot learning.
  ☆18Updated 9 years ago
• mbojarski / VisualBackProp
  VisualBackProp - visualization method for convolutional neural networks
  ☆44Updated 8 years ago
• tech-srl / counting_dimensions
  demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
  ☆11Updated 5 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago
• paper-submissions / norm_matters
  ☆13Updated 7 years ago
• cranmer / poisson-convolution-sum
  Implements an infinite sum of poisson-weighted convolutions
  ☆26Updated 6 years ago
• lnsmith54 / exploring-loss
  ☆22Updated 8 years ago
• rajivgrover009 / Deep-Learning
  ☆13Updated 7 years ago
• jlazarow / inn
  Code for the ICCV 2017 paper "Introspective Neural Networks for Generative Modeling"
  ☆11Updated 7 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 7 years ago
• qizhixinhit / Dirty-dataImpacts
  Codes&Datasets
  ☆17Updated 3 years ago
• VishaalMK / VectorDefense
  VectorDefense: Vectorization as a Defense to Adversarial Examples --->
  ☆13Updated 6 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 7 years ago