Alternatives and similar repositories for curveball-pytorch

Users that are interested in curveball-pytorch are comparing it to the libraries listed below

• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• TomVeniat / bsn
  Implementation of the Budgeted Super Networks
  ☆25Updated 6 years ago
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• joe-siyuan-qiao / NeuralRejuvenation-CVPR19
  Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
  ☆48Updated 6 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆75Updated 7 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• prlz77 / orthoreg
  Torch implementation of orthoreg.
  ☆15Updated 3 years ago
• songzhaozhe / Model-Architecture-Search-Paper-List
  A summary of my recently surveyed papers. Some papers on Arxiv with unimpressive results are not included.
  ☆25Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• drimpossible / Deep-Expander-Networks
  Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
  ☆42Updated 5 years ago
• jotaf98 / easy-receptive-fields-pytorch
  Minimal API for receptive field calculation in PyTorch
  ☆67Updated 2 years ago
• ColumbiaDVMM / Heated_Up_Softmax_Embedding
  Project page for Heated-up Softmax Embedding
  ☆43Updated 6 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆57Updated 7 years ago
• rctzeng / GAIN
  implementation of Guided Attention Inference Network
  ☆1Updated 7 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• rszeto / moving-symbols
  Like Moving MNIST, but way more flexible
  ☆24Updated 4 years ago
• ethanhe42 / mini-ImageNet
  Generate mini-ImageNet with ImageNet for fewshot learning
  ☆25Updated last year
• dakshitagrawal / HybridNet
  Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…
  ☆16Updated 6 years ago
• ShayanPersonal / checkered-cnn
  A new technique to increase receptive field in convolutional neural networks without losing so much information.
  ☆30Updated 7 years ago
• ruthcfong / net2vec
  Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
  ☆30Updated 7 years ago
• jz462 / ContrastiveLosses4VRD
  Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Parsing"
  ☆12Updated 5 years ago
• cogsys-tuebingen / PAL
  Reference implementation of the PAL optimizer
  ☆20Updated 4 years ago
• gabrielhuang / centroid-networks
  Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"
  ☆23Updated 5 years ago
• princeton-vl / DecorrelatedBN
  Code for Decorrelated Batch Normalization
  ☆82Updated 7 years ago
• hli2020 / nn_encapsulation
  Capsule research with our trivial contribution
  ☆53Updated 6 years ago