Alternatives and similar repositories for relative_predictive_coding

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

• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• thwjoy / revae-demo
  ☆17Updated 4 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆23Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated last month
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 5 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆51Updated 3 years ago
• MLforHealth / S2SD
  (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…
  ☆43Updated 4 years ago
• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆14Updated 6 years ago
• ermongroup / alignflow
  ☆33Updated 5 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 3 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago