CyclicalCurriculum / Cyclical-Curriculum

Related projects ⓘ

Alternatives and complementary repositories for Cyclical-Curriculum

• mattochal / imbalanced_fsl_public
  PyTorch implementation for "Few-Shot Learning with Class Imbalance"
  ☆35Updated 3 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• Minqi824 / ADGym
  Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023
  ☆24Updated last year
• ChristophReich1996 / SmeLU
  PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…
  ☆21Updated 2 years ago
• ShivamRajSharma / Teacher-Student-Network
  PyTorch implementation of Teacher-Student Network(Knowledge Distillation).
  ☆23Updated 3 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆32Updated last year
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆32Updated last year
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆20Updated 6 months ago
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆40Updated 3 years ago
• chr26195 / GKD
  The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…
  ☆20Updated 6 months ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆20Updated 11 months ago
• ttchengab / mixup
  ☆19Updated 3 years ago
• Itamarzimm / UnifiedImplicitAttnRepr
  ☆33Updated 5 months ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 2 years ago
• aryanasadianuoit / Distilling-Knowledge-via-Intermediate-Classifiers
  Distilling Knowledge via Intermediate Classifiers
  ☆15Updated 3 years ago
• OneForward / ResMHGNN
  Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).
  ☆18Updated 3 years ago
• minhtannguyen / transformer-mgk
  This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
  ☆26Updated 2 years ago
• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆21Updated 2 years ago
• VITA-Group / layerGraftedPretraining_ICLR23
  [ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jian…
  ☆23Updated last year
• alessant / HEE
  ☆10Updated last year
• jhoon-oh / kd_data
  IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
  ☆39Updated last year
• THUDM / BatchSampler
  The source code for BatchSampler that accepted in KDD'23
  ☆18Updated last year
• xmrec / xmrec.github.io
  ☆22Updated last year
• bwconrad / soft-moe
  PyTorch implementation of "From Sparse to Soft Mixtures of Experts"
  ☆47Updated last year
• HL-hanlin / GKAT
  ☆11Updated last year
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated last year
• abhuse / polyloss-pytorch
  Polyloss Pytorch Implementation
  ☆41Updated 2 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆27Updated 2 years ago
• ChengtaiCao / Awesome-Mix
  A curated list of awesome Mix
  ☆64Updated last year