stepbuystep / LightNASLinks
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
β12Updated 2 years ago
Alternatives and similar repositories for LightNAS
Users that are interested in LightNAS are comparing it to the libraries listed below
Sorting:
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"β20Updated 2 years ago
- Personal Digest of NAS (Under Construction π )β25Updated 5 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"β61Updated 2 years ago
- TQT's pytorch implementation.β21Updated 4 years ago
- A collection of research papers on efficient training of DNNsβ70Updated 3 years ago
- β43Updated 2 years ago
- Code for ICML 2021 submissionβ35Updated 4 years ago
- An external memory allocator example for PyTorch.β16Updated 5 months ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.β13Updated 4 years ago
- Post-training sparsity-aware quantizationβ34Updated 2 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmarkβ114Updated 2 years ago
- β25Updated 4 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilationβ27Updated 6 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan β¦β73Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and optiβ¦β50Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlightβ¦β64Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.β58Updated 3 years ago
- BitSplit Post-trining Quantizationβ50Updated 4 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer Lβ¦β49Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantizationβ14Updated 6 years ago
- [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platformsβ30Updated 3 years ago
- This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).β14Updated 4 years ago
- Paper list for accleration of transformersβ14Updated 2 years ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantizationβ28Updated 2 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)β62Updated 5 years ago
- Reproducing Quantization paper PACTβ65Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Networkβ74Updated 5 years ago
- β19Updated 4 years ago
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarβ¦β56Updated last year
- β42Updated 3 years ago