SeongokRyu / my-study-materials

Related projects: ⓘ

• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 5 years ago
• meliketoy / graph-tutorial.pytorch
  Pytorch Tutorial for Non-Euclidean Graph Representations
  ☆46Updated 5 years ago
• hongdoki / neurips-2019-papers-by-category
  mo papers mo problems
  ☆20Updated 4 years ago
• Gabe-YHLee / NRAE-public
  ☆28Updated last year
• bbuing9 / DND
  Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)
  ☆13Updated last year
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆26Updated last month
• jiamings / ml-cpc
  ☆36Updated 3 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆15Updated 3 years ago
• MingyuKim87 / fourier_feature_torch
  PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (NeurIPS2020)"
  ☆16Updated last year
• bpucla / latent-space-EBM-prior
  ☆33Updated 3 years ago
• sjhwang82 / DeepLearning
  Information and Materials for the Deep Learning Course
  ☆31Updated 2 years ago
• Lyusungwon / generative_models_pytorch
  Implementation of various generative models
  ☆14Updated 5 years ago
• sjchoi86 / tf_practice
  TensorFlow 1.x Practice
  ☆15Updated 3 years ago
• GNN-KR / paper_list
  List of papers on graph neural networks
  ☆38Updated 4 years ago
• 1202kbs / EBCLR
  Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
  ☆9Updated last year
• mingukkang / CVAE
  Tensorflow Code for Conditional Variational AutoEncoder
  ☆20Updated last year
• naver-ai / mid.metric
  ☆27Updated last year
• sc782 / SBM-Transformer
  ☆13Updated last year
• naver-ai / imagenet-annotation-tool
  ☆17Updated last year
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆26Updated 6 years ago
• 1202kbs / Paper-Review
  Reviews of papers on ML, DL, Statistics, Optimization, etc.
  ☆12Updated 3 years ago
• JWoong148 / MetaPerturb
  Pytorch implementation of “MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures” (NeurIPS 2020 spotlight)
  ☆13Updated 3 years ago
• kakaobrain / learning-loss-for-tta
  "Learning Loss for Test-Time Augmentation (NeurIPS 2020)"
  ☆9Updated 3 years ago
• swyoon / normalized-autoencoders
  The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
  ☆42Updated last year
• google-deepmind / ssl_hsic
  ☆34Updated last month
• bikestra / bikestra.github.com
  ☆18Updated 4 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆12Updated 2 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆26Updated 4 years ago
• DeepSE / deeplearning-models
  A collection of various deep learning architectures, models, and tips
  ☆63Updated 4 years ago
• kakaobrain / autowu
  Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)
  ☆39Updated 2 years ago