mit-han-lab / hardware-aware-transformers
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
☆331Updated 9 months ago
Alternatives and similar repositories for hardware-aware-transformers:
Users that are interested in hardware-aware-transformers are comparing it to the libraries listed below
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆241Updated 2 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Low Precision Arithmetic Simulation in PyTorch☆274Updated 10 months ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆382Updated 4 years ago
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆607Updated 9 months ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆277Updated last year
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆431Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆271Updated 4 months ago
- ☆47Updated 3 years ago
- Quantization of Convolutional Neural networks.☆244Updated 8 months ago
- Block-sparse primitives for PyTorch☆154Updated 4 years ago
- ☆229Updated 2 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆157Updated 3 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆332Updated 8 months ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆200Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆131Updated 4 years ago
- ☆202Updated 3 years ago
- Prune a model while finetuning or training.☆402Updated 2 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆603Updated 11 months ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Slicing a PyTorch Tensor Into Parallel Shards☆298Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆429Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆95Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆110Updated last year
- ☆213Updated 6 years ago
- Fast Block Sparse Matrices for Pytorch☆545Updated 4 years ago
- papers about model compression☆166Updated 2 years ago