IntelLabs / DyNAS-TLinks
Dynamic Neural Architecture Search Toolkit
☆30Updated 9 months ago
Alternatives and similar repositories for DyNAS-T
Users that are interested in DyNAS-T are comparing it to the libraries listed below
Sorting:
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20Updated 2 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆21Updated 3 years ago
- ☆43Updated last year
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- ☆33Updated 3 months ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆74Updated 2 years ago
- ☆26Updated 3 years ago
- ☆19Updated 3 years ago
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆32Updated 3 years ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Updated 2 years ago
- Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification☆47Updated 3 years ago
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆31Updated 2 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- ☆22Updated 2 years ago
- Factorized Neural Layers☆30Updated 2 years ago
- A block oriented training approach for inference time optimization.☆34Updated last year
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆111Updated 2 years ago
- Neural Architecture Search for Neural Network Libraries☆60Updated last year
- DeltaCNN End-to-End CNN Inference of Sparse Frame Differences in Videos☆59Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆28Updated 4 years ago
- ☆10Updated 3 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆40Updated last week
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆76Updated 2 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- code for NASViT☆66Updated 3 years ago
- Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption☆107Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 3 years ago