Alternatives and similar repositories for activation_learning:

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

• JacksonWuxs / Forward-Forward-Network
  Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.
  ☆168Updated 2 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆35Updated 2 years ago
• pkuxmq / HLOP-SNN
  [ICLR 2024] Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
  ☆34Updated last year
• jwzhanggy / tinyBIG
  tinybig for deep function learning
  ☆60Updated 4 months ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last year
• Daftstone / CIMI
  ☆27Updated last year
• HongtengXu / SGWB-Graphon
  Learning Graphons via Structured Gromov-Wasserstein Barycenters
  ☆22Updated 4 years ago
• badripatro / mamba360
  State Space Models
  ☆67Updated 11 months ago
• PHD-lanyu / SpikeGraphormer
  This repo is for source code of paper "SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention".
  ☆16Updated last year
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆51Updated 2 months ago
• SandMartex / AutoGT
  Implementation Codes for ICLR 2023 paper "AutoGT: Automated Graph Transformer Architecture Search"
  ☆2Updated last year
• EdisonLeeeee / SpikeNet
  [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  ☆65Updated last year
• wubotong / LaCIM
  ☆23Updated 3 years ago
• xpuoxford / L2G-neurips2021
  ☆26Updated 3 years ago
• SqrtiZhang / openreview_ICRL2024_analysis
  ☆10Updated last year
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆19Updated 2 years ago
• KarolisMart / DropGNN
  The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)
  ☆25Updated 2 years ago
• pkuxmq / GRSNN
  [ICML 2024] Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
  ☆10Updated 10 months ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• Gothos / LRU-pytorch
  Unofficial implementation of Linear Recurrent Units, by Deepmind, in Pytorch
  ☆68Updated last year
• clear-nus / TactileSGNet
  A spiking graph neural network for event-based learning
  ☆46Updated 4 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆21Updated 5 months ago
• erwanplantec / LNDP
  ☆56Updated 5 months ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• ZulunZhu / SpikingGCN
  ☆41Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆79Updated 8 months ago
• xuanqing94 / FLOATER
  Learning to Encode Position for Transformer with Continuous Dynamical Model
  ☆59Updated 4 years ago
• tmlr-group / CausalCOAT
  [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
  ☆19Updated 4 months ago
• chenweize1998 / fully-hyperbolic-nn
  Code for paper Fully Hyperbolic Neural Networks
  ☆77Updated 2 years ago
• Zekun-Cai / Koodos
  [NeurIPS 2024] Continuous Temporal Domain Generalization
  ☆44Updated last month