Alternatives and similar repositories for icml2020

Users that are interested in icml2020 are comparing it to the libraries listed below

• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 4 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆77Updated 3 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 4 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• lucidrains / learning-to-expire-pytorch
  An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain
  ☆34Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 5 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• TomFrederik / grokking
  Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
  ☆38Updated 3 years ago
• lucidrains / remixer-pytorch
  Implementation of the Remixer Block from the Remixer paper, in Pytorch
  ☆36Updated 3 years ago
• danielkunin / neural-mechanics
  ☆18Updated 4 years ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆84Updated 4 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• BoyuanChen / label_representations
  [ICLR 2021] Beyond Categorical Label Representations for Image Classification
  ☆25Updated 3 years ago
• titu1994 / tf_GON
  Tensorflow 2.x implementation of Gradient Origin Networks
  ☆12Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• sayakpaul / par-cvpr-21
  Contains notebooks for the PAR tutorial at CVPR 2021.
  ☆36Updated 3 years ago
• ebartrum / lightning_gan_zoo
  GAN models implemented with Pytorch Lightning and Hydra configuration
  ☆34Updated 3 years ago
• EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
  Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…
  ☆17Updated 5 years ago