GATECH-EIC / HALOLinks
The official code for [ECCV2020] "HALO: Hardware-aware Learning to Optimize"
☆10Updated 2 years ago
Alternatives and similar repositories for HALO
Users that are interested in HALO are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Updated 5 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- ☆15Updated 5 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 2 years ago
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆22Updated 6 years ago
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆32Updated 2 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆21Updated 5 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- ☆28Updated 4 years ago
- [ICML 2021] "Selfish Sparse RNN Training" by Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy☆10Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch☆18Updated 4 years ago
- ☆25Updated 3 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆38Updated 3 years ago
- ☆35Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆20Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- ☆17Updated 3 years ago
- ☆13Updated 4 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆13Updated 5 years ago
- Pytorch implementation of EENets☆19Updated 10 months ago
- Code of ImageNet training and evaluation for the paper: RENAS: Reinforced Evolutionary Neural Architecture Search☆22Updated 6 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Arch-Net: Model Distillation for Architecture Agnostic Model Deployment☆23Updated 3 years ago
- Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral☆61Updated last year