Sanjana7395 / static_quantizationLinks
Post-training static quantization using ResNet18 architecture
☆37Updated 4 years ago
Alternatives and similar repositories for static_quantization
Users that are interested in static_quantization are comparing it to the libraries listed below
Sorting:
- PyTorch Static Quantization Example☆38Updated 4 years ago
- Repository to track the progress in model compression and acceleration☆105Updated 4 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆164Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆308Updated 2 years ago
- Try out different pruning-approaches on lightweight Backbones.☆146Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- Quantization of Convolutional Neural networks.☆244Updated 11 months ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆186Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- DL quantization for pytorch☆26Updated 6 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- papers about model compression☆166Updated 2 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆151Updated last year
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆442Updated 2 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- ☆125Updated 4 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆390Updated 4 years ago
- ☆48Updated 4 years ago
- Convert ONNX model graph to Keras model format.☆201Updated last year
- ☆47Updated 3 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 4 years ago
- Pruned model: VGG & ResNet-50☆17Updated 6 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 3 years ago