Alternatives and similar repositories for EdgeTransformer

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

• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated last year
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 4 years ago
• FranxYao / RDP
  Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization
  ☆14Updated 3 years ago
• sarthmit / Compositional-Attention
  Code to reproduce the results for Compositional Attention
  ☆59Updated 3 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• Noahs-ARK / RFA
  ☆33Updated 4 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆27Updated 4 years ago
• zomux / lanmt-ebm
  lanmt ebm
  ☆12Updated 5 years ago
• yuPeiyu98 / Latent-Diffusion-EBM
  [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
  ☆67Updated 3 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• radarFudan / Curse-of-memory
  Curse-of-memory phenomenon of RNNs in sequence modelling
  ☆19Updated 7 months ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• robert-lieck / RBN
  Recursive Bayesian Networks
  ☆11Updated 7 months ago
• zhangjiong724 / spectral-RNN
  STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
  ☆16Updated 7 years ago
• gblackout / NLIL
  Neural Logic Inductive Learning
  ☆44Updated 3 years ago
• RobertCsordas / ndr
  The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
  ☆34Updated 6 months ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 3 years ago
• choidami / sst
  ☆50Updated 5 years ago
• belindal / TaskBench500
  Suite of 500 procedurally-generated NLP tasks to study language model adaptability
  ☆21Updated 3 years ago
• ischlag / Fast-Weight-Memory-public
  Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
  ☆28Updated 4 years ago
• microsoft / EfficientLongSequenceModeling
  ☆52Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• deep-spin / sparse-communication
  ☆12Updated 3 years ago
• CyndxAI / QKNorm
  Code for the paper "Query-Key Normalization for Transformers"
  ☆50Updated 4 years ago
• ruqizhang / discrete-langevin
  ☆41Updated 3 years ago
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated 2 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 5 years ago