Alternatives and similar repositories for Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets

Users that are interested in Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets are comparing it to the libraries listed below

• daiqing98 / FedCIL
  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning
  ☆28Updated 2 years ago
• raymin0223 / LoGo
  Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)
  ☆32Updated 2 years ago
• Yujun-Shi / FedCLS
  [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…
  ☆40Updated 2 years ago
• royson / fedl2p
  [NeurIPS'23] FedL2P: Federated Learning to Personalize
  ☆21Updated 10 months ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆54Updated last year
• hukla / FedClassAvg
  ☆18Updated 2 years ago
• Xu-Jingyi / FedCorr
  CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
  ☆35Updated last year
• zhangmarvin / memo
  ☆65Updated last year
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆59Updated 2 years ago
• jhoon-oh / FedBABU
  ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"
  ☆50Updated 3 years ago
• duygunuryldz / Federated_Orthogonal_Training
  ☆10Updated last year
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆43Updated 2 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆91Updated 4 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• SonyResearch / MocoSFL
  Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)
  ☆52Updated 2 years ago
• chunmeifeng / FedPR
  【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction
  ☆46Updated 2 years ago
• SonyResearch / MECTA
  Memory-Economic Continual Test-Time Model Adaptation
  ☆31Updated last year
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆21Updated 3 years ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆70Updated 2 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• JiahuaDong / LGA
  [TPAMI 2023] No One Left Behind: Real-World Federated Class-Incremental Learning
  ☆29Updated last year
• leondada / FedAPT
  ☆15Updated last year
• Liangqiong / ViT-FL-main
  ☆111Updated 2 years ago
• uitrbn / IDM
  ☆27Updated last year
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• VICO-UoE / IT-GAN
  ☆23Updated last year
• ZexiLee / ICCV-2023-FedETF
  The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…
  ☆25Updated last year
• SaraBabakN / MFCL-NeurIPS23
  ☆19Updated last year
• HongxiaLee / FedOTP
  Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
  ☆38Updated last year