This code implements NICE papper
☆20Oct 1, 2018Updated 7 years ago
Alternatives and similar repositories for NICE
Users that are interested in NICE are comparing it to the libraries listed below
Sorting:
- Generate an FPGA design for a TWN☆10Nov 4, 2019Updated 6 years ago
- Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow☆29Dec 3, 2018Updated 7 years ago
- Some recent Quantizing techniques on PyTorch☆72Sep 8, 2019Updated 6 years ago
- ☆13Jan 27, 2017Updated 9 years ago
- ☆14Oct 24, 2022Updated 3 years ago
- ChainerPruner: Channel Pruning framework for Chainer☆21Oct 7, 2019Updated 6 years ago
- An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks ICONIP‘18☆11Apr 12, 2018Updated 7 years ago
- Winning solution in AIM 2019 RAW to RGB Mapping Challenge (ICCV2019W)☆49Sep 12, 2019Updated 6 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Aug 17, 2021Updated 4 years ago
- Iterative Residual CNNs for Burst Photography Applications☆21Apr 4, 2019Updated 6 years ago
- FC-AIDE: Fully Convolutional Pixel Adaptive Image Denoiser☆28Jul 26, 2018Updated 7 years ago
- Open Source Compiler Framework using ONNX as Frontend and IR☆33Aug 17, 2022Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Feb 19, 2021Updated 5 years ago
- ☆21Nov 12, 2025Updated 3 months ago
- FPGA acceleration of arbitrary precision floating point computations.☆40May 17, 2022Updated 3 years ago
- This repository contains a visual studio project for training a classifier on the mnist dataset using the libtorch c++ wrapper.☆12Oct 13, 2020Updated 5 years ago
- ☆31Feb 27, 2019Updated 7 years ago
- Tensorflow implementation of IDN (CVPR 2018)☆28Dec 20, 2018Updated 7 years ago
- NART = NART is not A RunTime, a deep learning inference framework.☆37Mar 2, 2023Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- ☆37Jun 1, 2022Updated 3 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- ☆34Jan 15, 2016Updated 10 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Jun 19, 2020Updated 5 years ago
- PyTorch Quantization Framework For OCP MX Datatypes.☆16May 30, 2025Updated 9 months ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 2 years ago
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆26Jun 16, 2025Updated 8 months ago
- ☆35Mar 4, 2020Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- FluidNet re-written with ATen tensor lib☆52Jun 17, 2019Updated 6 years ago
- Deep-Residual-Network-for-JointDemosaicing-and-Super-Resolution pytorch 复现工作☆38Mar 26, 2019Updated 6 years ago
- ☆10Mar 20, 2021Updated 4 years ago
- Temporary repository for Japanese☆11Apr 25, 2019Updated 6 years ago
- ☆11Aug 27, 2019Updated 6 years ago
- Experiments on the lottery ticket hypothesis for finding sparse trainable neural networks☆10Aug 10, 2019Updated 6 years ago
- Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop]…☆10Oct 12, 2020Updated 5 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆170Dec 9, 2019Updated 6 years ago
- My Templates for Keynote☆11Jul 2, 2017Updated 8 years ago