jinqixiao / ComCAT
☆16Updated last year
Alternatives and similar repositories for ComCAT:
Users that are interested in ComCAT are comparing it to the libraries listed below
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆19Updated 3 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆71Updated 2 years ago
- Scala(NeurIPS 2024)☆10Updated 5 months ago
- [ECCV 2024] This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".☆27Updated last year
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆19Updated last month
- [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
- [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
- ☆19Updated 3 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 2 months ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆29Updated last year
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆77Updated last year
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- ☆45Updated last year
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆30Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆24Updated last year
- ☆38Updated last year
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- Official Pytorch implementation for Distilling Image Classifiers in Object detection (NeurIPS2021)☆31Updated 3 years ago
- BESA is a differentiable weight pruning technique for large language models.☆16Updated last year
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated 2 months ago
- ☆50Updated last year
- [CVPR 2024] DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model☆17Updated last year
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18Updated last year
- ☆21Updated last year
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Codebase of Truncated Consistency Models (ICLR 2025)☆21Updated 3 months ago
- (CVPR 2024) "Unsegment Anything by Simulating Deformation"☆28Updated 11 months ago
- Benchmarking Attention Mechanism in Vision Transformers.☆17Updated 2 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year