Alternatives and similar repositories for analyzeNN

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

• jhjacobsen / HierarchicalCNN
  ☆30Updated 7 years ago
• singlasahil14 / orthogonal-convolution
  Github repo for my experiments with the orthogonal convolution idea
  ☆22Updated 8 years ago
• desimone / segmentation-models
  semantic image segmentation networks implemented in tensorflow
  ☆16Updated 8 years ago
• hardikbansal / Fader-Networks-Tensorflow
  ☆38Updated 8 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 8 years ago
• yjchoe / alphaGAN
  A PyTorch implementation of alpha-GAN
  ☆15Updated 8 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 8 years ago
• VishaalMK / VectorDefense
  VectorDefense: Vectorization as a Defense to Adversarial Examples --->
  ☆13Updated 7 years ago
• xiaojudou / ICML2017_arXiv
  ICML 2017 accepted papers on arXiv.org
  ☆17Updated 8 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 7 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• zalandoresearch / first_order_gan
  Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591
  ☆35Updated 7 years ago
• ranihorev / arxiv-network-graph
  Arxiv's ML papers network graph and browser
  ☆80Updated 6 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆35Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 7 years ago
• mrgloom / Transfer-Learning
  tags: transfer learning, domain adaptation, finetuning, one-shot learning, zero-shot learning.
  ☆18Updated 9 years ago
• rajivgrover009 / Deep-Learning
  ☆13Updated 8 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 8 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 5 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆24Updated 7 years ago
• arayabrain / FewshotClassifier
  Code for the blog post on few-shot classification via task representation and communication.
  ☆18Updated 8 years ago
• ikiskin / ECMLDeepAudio
  Documented code with instructions to reproduce results of paper submitted to ECML
  ☆13Updated 7 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 10 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆71Updated 7 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 3 months ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• maga33 / TransferNet
  A Caffe implementation of http://arxiv.org/abs/1512.07928
  ☆39Updated 9 years ago
• Lucas2012 / ProbabilisticNeuralProgrammedNetwork
  Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018
  ☆39Updated last year
• mbojarski / VisualBackProp
  VisualBackProp - visualization method for convolutional neural networks
  ☆44Updated 9 years ago