pittisl / ElasticTrainerLinks
Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)
☆13Updated last year
Alternatives and similar repositories for ElasticTrainer
Users that are interested in ElasticTrainer are comparing it to the libraries listed below
Sorting:
- KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference☆22Updated 5 months ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆62Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- ☆22Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last month
- ☆43Updated last year
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 2 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Updated 3 years ago
- Experimental deep learning framework written in Rust☆15Updated 2 years ago
- ☆36Updated last year
- ☆25Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20Updated 2 years ago
- ACL 2023☆39Updated 2 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated last year
- MobiSys#114☆22Updated 2 years ago
- This is a list of awesome edgeAI inference related papers.☆98Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆55Updated last year
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Updated 3 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- To deploy Transformer models in CV to mobile devices.☆18Updated 3 years ago
- BESA is a differentiable weight pruning technique for large language models.☆17Updated last year
- The official implementation of TinyTrain [ICML '24]☆22Updated last year
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆28Updated 4 years ago
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆13Updated last year
- ☆68Updated 2 months ago
- ☆61Updated 2 years ago