Alternatives and similar repositories for Hydra

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

• Hui-Li / multi-task-learning-example-PyTorch
  ☆147Updated 3 years ago
• mit-gfx / ContinuousParetoMTL
  [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
  ☆146Updated 3 years ago
• hosseinshn / GradNorm
  This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
  ☆178Updated 3 years ago
• akosiorek / stacked_capsule_autoencoders
  ☆81Updated 3 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 4 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• wang3702 / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆69Updated 2 years ago
• hardianlawi / MTL-Homoscedastic-Uncertainty
  Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
  ☆53Updated 6 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆176Updated 3 years ago
• overshiki / kmeans_pytorch
  pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
  ☆93Updated 7 years ago
• jingxil / Neural-Decision-Forests
  An implementation of the Deep Neural Decision Forests in PyTorch
  ☆163Updated 6 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• egg-west / AdamW-pytorch
  Implementation and experiments for AdamW on Pytorch
  ☆94Updated 5 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 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"
  ☆327Updated 5 years ago
• renqianluo / NAO_pytorch
  Pytorch Implementation of Neural Architecture Optimization
  ☆113Updated 4 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• moskomule / ssl-suite
  SSL using PyTorch
  ☆49Updated 5 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆315Updated 5 years ago
• zhaohui-yang / LegoNet
  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  ☆140Updated 4 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• wchliao / multi-task-machine-learning-papers
  A list of multi-task machine learning papers.
  ☆37Updated 6 years ago
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆89Updated 6 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• lonePatient / lookahead_pytorch
  pytorch implement of Lookahead Optimizer
  ☆191Updated 3 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 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".
  ☆102Updated 5 years ago
• mpyrozhok / adamwr
  Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…
  ☆149Updated 6 years ago