D-X-Y / Awesome-AutoDLLinks
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
☆2,294Updated 2 years ago
Alternatives and similar repositories for Awesome-AutoDL
Users that are interested in Awesome-AutoDL are comparing it to the libraries listed below
Sorting:
- Automated deep learning algorithms implemented in PyTorch.☆1,581Updated 3 years ago
- A curated list of awesome architecture search resources☆1,187Updated 4 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆854Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,442Updated 10 months ago
- Differentiable architecture search for convolutional and recurrent networks☆3,966Updated 4 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,723Updated last year
- Collection of recent methods on (deep) neural network compression and acceleration.☆948Updated 2 months ago
- A curated list of neural network pruning resources.☆2,458Updated last year
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆446Updated 2 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆697Updated 2 years ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,093Updated last year
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,579Updated 6 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,513Updated 5 years ago
- Awesome Knowledge Distillation☆3,697Updated 3 weeks ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,925Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,154Updated last year
- ☆668Updated 3 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,398Updated 2 years ago
- Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)☆1,751Updated last year
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,604Updated 4 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,451Updated last year
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆364Updated 5 years ago
- knowledge distillation papers☆757Updated 2 years ago
- NAS-Bench-201 API and Instruction☆633Updated 4 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆439Updated 5 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,951Updated 2 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,572Updated last year
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆920Updated 2 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 3 years ago
- Papers for deep neural network compression and acceleration☆399Updated 4 years ago