ModelTC / LPCV_2023_solutionLinks
☆18Updated 2 years ago
Alternatives and similar repositories for LPCV_2023_solution
Users that are interested in LPCV_2023_solution are comparing it to the libraries listed below
Sorting:
- ☆61Updated last year
- [ICML 2025] This is the official PyTorch implementation of "OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniv…☆27Updated 7 months ago
- Group Fisher Pruning for Practical Network Compression(ICML2021)☆161Updated 2 years ago
- ☆11Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆127Updated 4 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"☆12Updated 2 years ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆75Updated 10 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆258Updated 5 months ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Updated 2 years ago
- The official implementation of the ICML 2023 paper OFQ-ViT☆36Updated 2 years ago
- AAAI2023 Efficient and Accurate Models towards Practical Deep Learning Baseline☆13Updated 3 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- [COLM 2025] DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation; 知乎：https://zhuanlan.zhihu.c…☆29Updated 11 months ago
- The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…☆38Updated 3 years ago
- Code Repository of Evaluating Quantized Large Language Models☆136Updated last year
- ☆244Updated 3 years ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆105Updated 2 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆42Updated 3 years ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆199Updated 3 years ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Updated 3 years ago
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆106Updated 2 years ago
- A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…☆204Updated 11 months ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆36Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆50Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Updated last year
- ☆265Updated 6 years ago
- NART = NART is not A RunTime, a deep learning inference framework.☆37Updated 2 years ago