Alternatives and similar repositories for FAMO:

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

• Cranial-XIX / CAGrad
  Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
  ☆117Updated last year
• lorenmt / auto-lambda
  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
  ☆133Updated 2 years ago
• Pengxin-Guo / Awesome-Multi-Task-Learning
  Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
  ☆45Updated last year
• AvivNavon / nash-mtl
  Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
  ☆216Updated 9 months ago
• SamsungLabs / MTL
  ☆75Updated last year
• xinliu20 / MEC
  ☆42Updated 2 years ago
• weigq / iclr2023_stats
  ICLR2023 statistics
  ☆60Updated last year
• fedebotu / ICLR2023-OpenReviewData
  Crawl & Visualize ICLR 2023 Data from OpenReview
  ☆75Updated 2 years ago
• thuml / ForkMerge
  Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)
  ☆14Updated last year
• yikangshen / MoA
  Mixture of Attention Heads
  ☆41Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• ranpox / openreview-visualization
  OpenReivew Submission Visualization (ICLR 2024/2025)
  ☆150Updated 4 months ago
• weigq / iclr2022_stats
  ☆46Updated 2 years ago
• adrianjav / rotograd
  Official Pytorch's implementation of RotoGrad
  ☆72Updated last year
• twinkle0331 / LGTM
  [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…
  ☆38Updated last year
• EdisonLeeeee / ICLR2023-OpenReviewData
  ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
  ☆104Updated 2 years ago
• Guozheng-Ma / DA-in-visualRL
  Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).
  ☆74Updated 10 months ago
• sunxm2357 / AdaShare
  AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
  ☆112Updated 4 years ago
• LeapLabTHU / Deep-Incubation
  Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)
  ☆90Updated last year
• js05212 / PyTorch-for-NPN
  Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'
  ☆11Updated 3 years ago
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆39Updated 10 months ago
• xiaofangxd / Multi-objective-optimization-and-Multi-task-Learning
  ☆68Updated 5 months ago
• moukamisama / Recon
  ☆11Updated last year
• shiqiangw / iclr-scores
  ☆54Updated 3 months ago
• thuml / ContextWM
  Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://ar…
  ☆58Updated 4 months ago
• lancopku / Explicit-Sparse-Transformer
  code for Explicit Sparse Transformer
  ☆60Updated last year
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆39Updated last year
• weigq / iclr2024_stats
  ICLR2024 statistics
  ☆47Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆68Updated last year
• EnnengYang / AdaTask
  AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.
  ☆24Updated last year