Alternatives and similar repositories for Hydra

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

• hosseinshn / GradNorm
  This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
  ☆179Updated 3 years ago
• Hui-Li / multi-task-learning-example-PyTorch
  ☆148Updated 3 years ago
• mit-gfx / ContinuousParetoMTL
  [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
  ☆146Updated 4 years ago
• akosiorek / stacked_capsule_autoencoders
  ☆80Updated 3 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• overshiki / kmeans_pytorch
  pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
  ☆94Updated 7 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆165Updated 6 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆177Updated 3 years ago
• wang3702 / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆69Updated 2 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• hardianlawi / MTL-Homoscedastic-Uncertainty
  Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
  ☆54Updated 7 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 3 years ago
• tianheyu927 / PCGrad
  Code for "Gradient Surgery for Multi-Task Learning"
  ☆334Updated 5 years ago
• apple / ml-capsules-inverted-attention-routing
  ☆125Updated 3 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• markpwoodward / active_osl
  Code for "Active One-shot Learning"
  ☆33Updated 6 years ago
• egg-west / AdamW-pytorch
  Implementation and experiments for AdamW on Pytorch
  ☆94Updated 5 years ago
• eminorhan / mixture-of-experts
  Mixture of experts layers for Keras
  ☆95Updated 7 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• lonePatient / lookahead_pytorch
  pytorch implement of Lookahead Optimizer
  ☆194Updated 3 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 7 years ago
• zhaohui-yang / LegoNet
  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  ☆140Updated 4 years ago
• siavash-khodadadeh / MetaLearning-TF2.0
  Meta learning framework with Tensorflow 2.0
  ☆118Updated 2 years ago
• wchliao / multi-task-machine-learning-papers
  A list of multi-task machine learning papers.
  ☆37Updated 6 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago