Tencent / PocketFlowLinks
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
☆2,909Updated 2 years ago
Alternatives and similar repositories for PocketFlow
Users that are interested in PocketFlow are comparing it to the libraries listed below
Sorting:
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,542Updated 6 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,401Updated 2 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…☆5,811Updated last month
- FeatherCNN is a high performance inference engine for convolutional neural networks.☆1,218Updated 5 years ago
- The convertor/conversion of deep learning models for different deep learning frameworks/softwares.☆3,250Updated 2 years ago
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,033Updated 2 months ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Updated last year
- A curated list of awesome architecture search resources☆1,189Updated 4 years ago
- Fast and flexible AutoML with learning guarantees.☆3,459Updated last year
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,724Updated 2 years ago
- Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet☆3,075Updated 3 years ago
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,552Updated this week
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,580Updated 6 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 4 years ago
- Differentiable architecture search for convolutional and recurrent networks☆3,972Updated 4 years ago
- MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.☆5,025Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,086Updated last year
- AutoML tools chain☆850Updated 2 years ago
- Tensorflow Backend for ONNX☆1,321Updated last year
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆954Updated 5 months ago
- A domain specific language to express machine learning workloads.☆1,761Updated 2 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆633Updated 4 years ago
- Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).☆646Updated 4 years ago
- ☆668Updated 4 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,306Updated 2 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,928Updated last year
- An optimizer that trains as fast as Adam and as good as SGD.☆2,914Updated 2 years ago
- nGraph has moved to OpenVINO☆1,343Updated 4 years ago
- MobileNet build with Tensorflow☆1,642Updated 7 years ago