Alternatives and similar repositories for activation_learning

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

• THUMNLab / CurML
  ☆90Updated 9 months ago
• Daftstone / CIMI
  ☆28Updated last year
• JacksonWuxs / Forward-Forward-Network
  Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.
  ☆169Updated 2 years ago
• jwzhanggy / tinyBIG
  tinybig for deep function learning
  ☆61Updated last month
• Ma-Lab-Berkeley / MCR2
  ☆81Updated 4 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆71Updated last year
• kynehc / clone_anonymous_github
  clone/download repositories from https://anonymous.4open.science/
  ☆86Updated 2 years ago
• FengHZ / mixupfamily
  The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN datas…
  ☆48Updated 3 years ago
• tmlr-group / CausalCOAT
  [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
  ☆20Updated 7 months ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• pkuxmq / HLOP-SNN
  [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
  ☆38Updated last year
• zju-vipa / awesome-neural-trees
  Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
  ☆80Updated 2 years ago
• EdisonLeeeee / SpikeNet
  [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  ☆70Updated last year
• ZhangTP1996 / TapTap
  ☆66Updated 2 years ago
• Pengxin-Guo / Awesome-Multi-Task-Learning
  Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
  ☆49Updated last year
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆40Updated last year
• pkuxmq / GRSNN
  [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
  ☆10Updated last year
• miniHuiHui / awesome-high-order-neural-network
  ☆50Updated 9 months ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆115Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated last month
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆50Updated 3 years ago
• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆200Updated 2 years ago
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• thuml / LogME
  Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…
  ☆208Updated last year
• EdisonLeeeee / ICLR2023-OpenReviewData
  ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference
  ☆105Updated 2 years ago
• ha-lins / PGCL
  The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]
  ☆24Updated 2 years ago
• junfish / Awesome-Multitask-Learning
  This repository periodicly updates the MTL paper and resources
  ☆56Updated 3 months ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆74Updated 3 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆77Updated 3 years ago
• thuml / Flowformer
  About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
  ☆323Updated last year