Alternatives and similar repositories for Differential-Transformer

Users that are interested in Differential-Transformer are comparing it to the libraries listed below

• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆26Updated 9 months ago
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆54Updated last year
• ChaejeongLee / CoDi
  Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023
  ☆35Updated last year
• BorgwardtLab / fisher_information_embedding
  Official code for Fisher information embedding for node and graph learning (ICML 2023)
  ☆19Updated 2 years ago
• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆26Updated 2 years ago
• seedatnabeel / CLLM
  Curated LLM (ICML 2024)
  ☆13Updated 10 months ago
• badripatro / mamba360
  State Space Models
  ☆70Updated last year
• suinleelab / vit-shapley
  ☆35Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated last year
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆31Updated last year
• jeongwhanchoi / GFSA
  "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024
  ☆25Updated 5 months ago
• PKU-ML / non_neg
  Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
  ☆45Updated last year
• 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
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆116Updated last year
• xll0328 / TimeSieve
  ☆46Updated last year
• bigdyl-kaist / OCTGAN
  PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)
  ☆15Updated 2 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆31Updated last year
• Lysarthas / Time-Transformer
  [SDM24] Official code for "Time-Transformer"
  ☆15Updated 2 weeks ago
• sczzz3 / EHRDiff
  An offical implementation of EHRDiff [TMLR]
  ☆26Updated last year
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆22Updated last year
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆30Updated 2 years ago
• Mishne-Lab / IGNR
  Implementation of Implicit Graphon Neural Representation
  ☆12Updated last year
• EQTPartners / TSDE
  TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…
  ☆33Updated last year
• Genentech / GraphGUIDE
  ☆12Updated 2 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆24Updated last year
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆15Updated last year
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆14Updated 5 months ago