GraphNAS / Awesome-NAS

Related projects ⓘ

Alternatives and complementary repositories for Awesome-NAS

• bpucla / latent-space-EBM-prior
  ☆33Updated 4 years ago
• Stanford-ILIAD / DPP-Batch-Active-Learning
  Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv pr…
  ☆13Updated 3 months ago
• alexsax / taskonomy-sample-model-1
  Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"
  ☆49Updated 6 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆34Updated last year
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆71Updated 4 years ago
• jramapuram / SimCLR
  SimCLR pytorch implementation using DistributedDataParallel.
  ☆24Updated last year
• energy-based-model / energy-based-model
  ☆32Updated 2 years ago
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆23Updated 2 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 4 years ago
• xjwxjw / VPSS
  demo code for "Video Prediction via Selective Sampling" (NeurIPS 2018)
  ☆12Updated 4 years ago
• seuqaj114 / paig
  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
  ☆39Updated last year
• Jiacheng-Zhu-AIML / FOT
  Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
  ☆25Updated 3 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 3 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆23Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated last year
• ThomasMrY / Groupified-VAE
  [ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
  ☆15Updated 2 years ago
• minyoungg / overparam
  ☆40Updated last year
• alldbi / Factorized-Spatial-Embeddings
  Tensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings
  ☆29Updated 5 years ago
• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆45Updated 3 years ago
• cgraber / cvpr_dNRI
  Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
  ☆60Updated 3 years ago
• IuliaDuta / RSTG
  ☆38Updated 4 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 3 months ago
• google-deepmind / ssl_hsic
  ☆35Updated 3 months ago
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
  ☆25Updated 7 months ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 5 years ago
• ceciliaresearch / four_things_batch_norm
  ☆20Updated 4 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆58Updated 2 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆73Updated 3 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆38Updated 3 years ago