Alternatives and similar repositories for learning-to-learn

Users that are interested in learning-to-learn are comparing it to the libraries listed below

• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆48Updated 4 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• kundajelab / labelshiftexperiments
  Label shift experiments
  ☆17Updated 4 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆111Updated 2 years ago
• KKhvatova / Weakly_Supervised_Learning
  Weakly Supervised Learning: Introduction and Best Practices
  ☆12Updated 6 years ago
• zackchase / label_shift
  A simple algorithm to identify and correct for label shift.
  ☆22Updated 7 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• aniketde / DomainGeneralizationMarginal
  ☆15Updated 7 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago
• yedidh / radonomaly
  Code release for "Time Series Anomaly Detection by Cumulative Radon Features"
  ☆12Updated 3 years ago
• salesforce / NeuralBayes
  ☆24Updated 6 months ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆15Updated 5 years ago
• pat-coady / contrast-pred-code
  Minimal implementation of Contrastive Predictive Coding for audio.
  ☆17Updated 5 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• markdtw / temperature-scaling-tensorflow
  On Calibration of Modern Neural Networks - tensorflow implementation
  ☆30Updated 7 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆25Updated 5 months ago
• mattochal / imbalanced_fsl_public
  PyTorch implementation for "Few-Shot Learning with Class Imbalance"
  ☆37Updated 4 years ago
• facebookresearch / private_prediction
  The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …
  ☆20Updated 4 years ago
• d909b / ame
  🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…
  ☆42Updated 2 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 6 years ago
• sayakpaul / Generalized-ODIN-TF
  TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …
  ☆45Updated 4 years ago
• mitmul / chainer-nri
  Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer
  ☆34Updated 6 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• skywaLKer518 / MultiplicativeMultimodal
  ☆30Updated 7 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• hankyul2 / DomainAdaptation
  Domain Adaptation
  ☆23Updated 3 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago