Alternatives and similar repositories for WritingTips:

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

• MingSun-Tse / smilelogging
  Python logging package for easy reproducible experimenting in research
  ☆39Updated 4 months ago
• tcl9876 / Denoising_Student
  ☆29Updated 4 years ago
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆48Updated 2 years ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆80Updated last year
• wyzjack / AdaM3
  [ICDM 2023] Momentum is All You Need for Data-Driven Adaptive Optimization
  ☆25Updated 11 months ago
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆33Updated last year
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆36Updated 7 months ago
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆88Updated last year
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• forever208 / EDM-ES
  [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
  ☆26Updated 10 months ago
• GuoQiushan / EGC
  ☆41Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• shlokk / HCL
  ☆46Updated last year
• mkshing / DiffFit-pytorch
  Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"
  ☆84Updated last year
• Picsart-AI-Research / IPL-Zero-Shot-Generative-Model-Adaptation
  [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
  ☆84Updated last year
• wy1iu / butterfly-oft
  Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
  ☆76Updated 11 months ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆77Updated 2 years ago
• EnVision-Research / DDSM
  Denoising Diffusion Step-aware Models (ICLR2024)
  ☆57Updated last year
• NVlabs / CMD
  Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition (ICLR 2024)
  ☆36Updated 9 months ago
• Adamdad / Repfusion
  ☆54Updated last year
• ZhaoyangLyu / Early_Stopped_DDPM
  Accelerating Diffusion Models via Early Stop of the Diffusion Process
  ☆37Updated 2 years ago
• ucasligang / SemMAE
  [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders
  ☆35Updated last year
• Phoenix1153 / ViT_OOD_generalization
  ☆84Updated 2 years ago
• FutureXiang / edm2
  Minimal multi-gpu implementation of EDM2: "Analyzing and Improving the Training Dynamics of Diffusion Models"
  ☆29Updated last year
• liuzhuang13 / bias
  ☆105Updated last year
• byeongjun-park / Switch-DiT
  [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"
  ☆37Updated 8 months ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago