pytorch / QNNPACK
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
☆1,528Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for QNNPACK
- Low-precision matrix multiplication☆1,780Updated 9 months ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,788Updated last year
- Tensorflow Backend for ONNX☆1,284Updated 7 months ago
- High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.☆532Updated 2 years ago
- FeatherCNN is a high performance inference engine for convolutional neural networks.☆1,210Updated 5 years ago
- TVM integration into PyTorch☆452Updated 4 years ago
- nGraph has moved to OpenVINO☆1,352Updated 4 years ago
- A domain specific language to express machine learning workloads.☆1,761Updated last year
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆918Updated 3 months ago
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆1,885Updated this week
- Acceleration package for neural networks on multi-core CPUs☆1,676Updated 5 months ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,210Updated this week
- A performant and modular runtime for TensorFlow☆756Updated last month
- ☆1,655Updated 6 years ago
- Benchmarking Neural Network Inference on Mobile Devices☆360Updated last year
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆636Updated 4 years ago
- Memory consumption and FLOP count estimates for convnets☆919Updated 5 years ago
- Benchmarking Deep Learning operations on different hardware☆1,074Updated 3 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,425Updated 2 months ago
- ImageNet classification using binary Convolutional Neural Networks☆856Updated 6 years ago
- Compiler for Neural Network hardware accelerators☆3,236Updated 6 months ago
- WeChat: NeuralTalk，Weekly report and awesome list of embedded-ai.☆375Updated 2 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,351Updated last year
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,021Updated 6 months ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,079Updated 6 months ago
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,493Updated this week
- Dive into Deep Learning Compiler☆643Updated 2 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆605Updated 4 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆692Updated last year
- Mobile AI Compute Engine Model Zoo☆371Updated 3 years ago