Alternatives and similar repositories for pamal

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

• GhadaSokar / WAST
  [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?
  ☆12Updated 2 years ago
• TNAS-DCS / TNAS-DCS
  ☆13Updated 2 years ago
• Daftstone / CIMI
  ☆28Updated last year
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆13Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 7 months ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• badripatro / mamba360
  State Space Models
  ☆68Updated last year
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆25Updated 8 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• gustmd0121 / Time_is_not_Enough
  Official source code for Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
  ☆10Updated 7 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆58Updated 2 years ago
• xinyuewangg / DGCMM
  ☆14Updated 3 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• Pengxin-Guo / Awesome-Multi-Task-Learning
  Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
  ☆48Updated last year
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆36Updated last year
• automl / is_mamba_capable_of_icl
  ☆18Updated last year
• minyoungkim21 / BayesDLL
  Bayesian Deep Learning Library
  ☆12Updated last year
• smonsays / contrastive-meta-learning
  Code accompanying the paper "A contrastive rule for meta-learning"
  ☆12Updated 8 months ago
• timgaripov / asa
  Code for paper "Adversarial Support Alignment"
  ☆22Updated 3 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆20Updated 4 years ago
• sungyubkim / DVIB
  A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
  ☆9Updated 6 years ago
• BurakGurbuz97 / NISPA
  Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning
  ☆21Updated 2 years ago
• automl / hierarchical_nas_construction
  Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)
  ☆17Updated last year
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year