DeGirum / pruned-models
Repository containing pruned models and related information
☆37Updated 3 years ago
Alternatives and similar repositories for pruned-models:
Users that are interested in pruned-models are comparing it to the libraries listed below
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- ☆56Updated 4 years ago
- ☆67Updated 5 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- ☆213Updated 6 years ago
- ☆47Updated 4 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- DNN quantization with outlier channel splitting☆112Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 2 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated last year
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Reference implementations of popular Binarized Neural Networks☆107Updated last week
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- ☆69Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆157Updated 4 years ago
- ☆35Updated 5 years ago
- Reducing the size of convolutional neural networks☆114Updated 7 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆96Updated 3 years ago
- This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)☆19Updated 6 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 4 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆71Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆108Updated 3 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 10 months ago