Alternatives and similar repositories for torchMTL

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

• enochkan / torch-metrics
  Metrics for model evaluation in pytorch
  ☆110Updated 4 years ago
• ankandrew / online-label-smoothing-pt
  Implementation of Online Label Smoothing in PyTorch
  ☆95Updated 3 years ago
• tuantle / regression-losses-pytorch
  Experimenting with different regression losses. Implemented in Pytorch.
  ☆148Updated 6 years ago
• Hui-Li / multi-task-learning-example-PyTorch
  ☆148Updated 3 years ago
• hav4ik / Hydra
  Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
  ☆149Updated 6 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆111Updated 2 years ago
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆118Updated 4 years ago
• wilile26811249 / Fastformer-PyTorch
  Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
  ☆133Updated 4 years ago
• thegregyang / LossUpAccUp
  Loss and accuracy go opposite ways...right?
  ☆95Updated 5 years ago
• lucidrains / h-transformer-1d
  Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
  ☆165Updated last year
• The-AI-Summer / deep-learning-visuals
  A collection of 100 Deep Learning images and visualizations
  ☆79Updated 4 years ago
• vrvlive / knowlege-distillation
  PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems
  ☆32Updated last year
• borisdayma / lightning-kitti
  Semantic Segmentation with Pytorch-Lightning
  ☆63Updated 4 years ago
• abhuse / cyclic-cosine-decay
  Pytorch cyclic cosine decay learning rate scheduler
  ☆49Updated 4 years ago
• lnsmith54 / CFL
  ☆95Updated 2 years ago
• SimonVandenhende / Awesome-Multi-Task-Learning
  A list of multi-task learning papers and projects.
  ☆382Updated 3 years ago
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• MaxHalford / pytorch-resample
  🎲 Iterable dataset resampling in PyTorch
  ☆92Updated 3 years ago
• issamemari / pytorch-multilabel-balanced-sampler
  PyTorch samplers that output roughly balanced batches with support for multilabel datasets
  ☆57Updated last year
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆154Updated 2 years ago
• kuixu / Linear-Multihead-Attention
  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
  ☆75Updated 5 years ago
• QData / LaMP
  ECML 2019: Graph Neural Networks for Multi-Label Classification
  ☆90Updated last year
• hosseinshn / GradNorm
  This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
  ☆181Updated 4 years ago
• mlpanda / bi-tempered-loss-pytorch
  Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
  ☆62Updated 6 years ago
• rishikksh20 / FNet-pytorch
  Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
  ☆259Updated 4 years ago
• stanford-futuredata / selection-via-proxy
  ☆96Updated 4 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆147Updated 3 years ago
• antoinebrl / torchextractor
  Feature extraction made simple with torchextractor
  ☆101Updated 4 years ago
• vfdev-5 / BootstrappingLoss
  Bootstrapping loss function implementation in pytorch
  ☆36Updated 4 years ago
• superannotateai / active_learning
  ☆71Updated 4 years ago