IntelLabs / distillerLinks
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
☆4,400Updated 2 years ago
Alternatives and similar repositories for distiller
Users that are interested in distiller are comparing it to the libraries listed below
Sorting:
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,925Updated last year
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,446Updated 11 months ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,913Updated 2 years ago
- Awesome Knowledge Distillation☆3,725Updated 2 months ago
- A curated list of neural network pruning resources.☆2,470Updated last year
- Differentiable architecture search for convolutional and recurrent networks☆3,971Updated 4 years ago
- Model analyzer in PyTorch☆1,490Updated 2 years ago
- The convertor/conversion of deep learning models for different deep learning frameworks/softwares.☆3,248Updated 2 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,256Updated 3 months ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,724Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,161Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,303Updated 2 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,034Updated last year
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,961Updated 2 years ago
- Flops counter for neural networks in pytorch framework☆2,930Updated this week
- Memory consumption and FLOP count estimates for convnets☆927Updated 6 years ago
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,809Updated 2 weeks ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆949Updated 4 months ago
- Automated deep learning algorithms implemented in PyTorch.☆1,583Updated 3 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆883Updated 6 years ago
- ☆668Updated 4 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,579Updated last year
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 4 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,051Updated last year
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,543Updated 5 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,841Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,774Updated this week
- A curated list of awesome architecture search resources☆1,188Updated 4 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,085Updated last year