google-research / morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
☆1,029Updated 2 months ago
Alternatives and similar repositories for morph-net:
Users that are interested in morph-net are comparing it to the libraries listed below
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆685Updated 5 years ago
- Weakly Supervised Learning On Images☆602Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,714Updated last year
- 🔥 Reproducibly benchmarking Keras and PyTorch models☆367Updated 4 years ago
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,579Updated 5 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆633Updated 4 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Pruning and other network surgery for trained Keras models.☆408Updated last year
- Sparse learning library and sparse momentum resources.☆380Updated 2 years ago
- Fast and flexible AutoML with learning guarantees.☆3,462Updated last year
- Make huge neural nets fit in memory☆2,780Updated 4 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,912Updated last year
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,537Updated 5 years ago
- ☆537Updated 3 years ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆865Updated 4 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,546Updated 3 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Model analysis tools for TensorFlow☆1,262Updated last week
- Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry☆843Updated 5 years ago
- PyTorch to Keras model convertor☆859Updated 2 years ago
- RAdam implemented in Keras & TensorFlow☆325Updated 3 years ago
- Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆685Updated 5 years ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,857Updated 2 years ago
- ☆1,207Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,436Updated 7 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,386Updated last year
- pip install antialiased-cnns to improve stability and accuracy☆1,670Updated last year
- Compare GAN code.☆1,821Updated 4 years ago
- High level network definitions with pre-trained weights in TensorFlow☆1,003Updated 4 years ago