IntelLabs / distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
☆4,366Updated last year
Alternatives and similar repositories for distiller:
Users that are interested in distiller are comparing it to the libraries listed below
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,795Updated last year
- Model analyzer in PyTorch☆1,473Updated last year
- Awesome Knowledge Distillation☆3,530Updated this week
- Count the MACs / FLOPs of your PyTorch model.☆4,945Updated 6 months ago
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,806Updated 8 months ago
- A curated list of neural network pruning resources.☆2,394Updated 9 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,896Updated last year
- Flops counter for convolutional networks in pytorch framework☆2,854Updated last week
- Codebase for Image Classification Research, written in PyTorch.☆2,147Updated 10 months ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,708Updated last year
- The convertor/conversion of deep learning models for different deep learning frameworks/softwares.☆3,243Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,262Updated 2 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,513Updated last month
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,028Updated 10 months ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,890Updated last year
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆877Updated 5 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,567Updated 7 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,805Updated 11 months ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,426Updated 4 months ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆937Updated last month
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,230Updated 3 years ago
- ☆664Updated 3 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,081Updated 8 months ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,450Updated 6 years ago
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,253Updated this week
- Differentiable architecture search for convolutional and recurrent networks☆3,933Updated 4 years ago
- A lightweight library for PyTorch training tools and utilities☆1,681Updated last week
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,534Updated 5 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,904Updated 2 weeks ago