Alternatives and similar repositories for ComCAT

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

• zju-vipa / training_free_model_merging
  This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
  ☆31Updated last year
• ziplab / EcoFormer
  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
  ☆74Updated 2 years ago
• FutureXiang / edm2
  Minimal multi-gpu implementation of EDM2: "Analyzing and Improving the Training Dynamics of Diffusion Models"
  ☆34Updated last year
• KD-TAO / VidKV
  VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
  ☆22Updated 5 months ago
• ziplab / Mesa
  This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
  ☆120Updated 3 years ago
• VITA-Group / AsViT
  [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…
  ☆76Updated 3 years ago
• pkulwj1994 / diff_instruct
  official code for Diff-Instruct algorithm for one-step diffusion distillation
  ☆78Updated 7 months ago
• TomerRonen34 / mixed-resolution-vit
  ☆52Updated last year
• ggjy / vision_weak_to_strong
  ☆38Updated last year
• Kwai-Kolors / LPO
  Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
  ☆38Updated 3 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆65Updated last year
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆54Updated 7 months ago
• ali-vilab / alitok
  AliTok: Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
  ☆44Updated 2 months ago
• wy1iu / OPT
  Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
  ☆21Updated 4 years ago
• Lucky-Lance / TerDiT
  TerDiT: Ternary Diffusion Models with Transformers
  ☆71Updated last year
• lilijiangg / AutoDiffusion
  ☆45Updated last year
• 0nutation / Lookup-Free-Quantization
  ☆28Updated last year
• Yuanshi9815 / LiteFocus
  [Interspeech 2024] LiteFocus is a tool designed to accelerate diffusion-based TTA model, now implemented with the base model AudioLDM2.
  ☆33Updated 5 months ago
• hammoudhasan / DiversitySSL
  Original code base for On Pretraining Data Diversity for Self-Supervised Learning
  ☆14Updated 8 months ago
• MCG-NJU / FlowDCN
  [NeurIPS 2024] Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
  ☆34Updated 8 months ago
• fundamentalvision / Siamese-Image-Modeling
  ☆16Updated 2 years ago
• changlin31 / AutoProg
  (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
  ☆25Updated 6 months ago
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆46Updated 2 weeks ago
• yyyyychen / LowMemoryBP
  The official implementation of the paper "Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation"
  ☆20Updated 8 months ago
• wy1iu / butterfly-oft
  Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"
  ☆79Updated last year
• Adamdad / Repfusion
  ☆56Updated last year
• sail-sg / FDM
  The official PyTorch implementation of Fast Diffusion Model
  ☆95Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated 2 years ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆112Updated last year
• roymiles / VeLoRA
  [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections
  ☆21Updated 10 months ago