tigert1998 / qatLinks
Manually implemented quantization-aware training
☆21Updated 3 years ago
Alternatives and similar repositories for qat
Users that are interested in qat are comparing it to the libraries listed below
Sorting:
- ☆205Updated 3 years ago
- To deploy Transformer models in CV to mobile devices.☆18Updated 3 years ago
- ☆68Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- PyTorch Quantization Aware Training Example☆143Updated last year
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆57Updated 6 years ago
- ☆163Updated 2 years ago
- ☆241Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- CUDA Templates for Linear Algebra Subroutines☆100Updated last year
- ☆158Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆32Updated 3 years ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆111Updated 10 months ago
- [ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition☆34Updated 4 years ago
- Benchmark scripts for TVM☆74Updated 3 years ago
- This is a demo how to write a high performance convolution run on apple silicon☆56Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆25Updated 2 years ago
- study of Ampere' Sparse Matmul☆18Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- play gemm with tvm☆92Updated 2 years ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆102Updated 7 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆138Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated last month
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago