pytorch / QNNPACKLinks
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
☆1,541Updated 5 years ago
Alternatives and similar repositories for QNNPACK
Users that are interested in QNNPACK are comparing it to the libraries listed below
Sorting:
- Low-precision matrix multiplication☆1,803Updated last year
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,886Updated 2 years ago
- High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.☆533Updated 2 years ago
- FeatherCNN is a high performance inference engine for convolutional neural networks.☆1,220Updated 5 years ago
- nGraph has moved to OpenVINO☆1,348Updated 4 years ago
- A domain specific language to express machine learning workloads.☆1,759Updated 2 years ago
- Acceleration package for neural networks on multi-core CPUs☆1,686Updated 11 months ago
- TVM integration into PyTorch☆452Updated 5 years ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,342Updated this week
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆947Updated last month
- Tensorflow Backend for ONNX☆1,305Updated last year
- Compiler for Neural Network hardware accelerators☆3,299Updated last year
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,394Updated 2 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆633Updated 4 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆618Updated 4 years ago
- ☆1,657Updated 6 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,439Updated 9 months ago
- Memory consumption and FLOP count estimates for convnets☆923Updated 6 years ago
- Dive into Deep Learning Compiler☆645Updated 2 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,082Updated last year
- A performant and modular runtime for TensorFlow☆761Updated last month
- Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn☆1,262Updated this week
- Benchmarking Neural Network Inference on Mobile Devices☆374Updated 2 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆714Updated 2 years ago
- Embedded and mobile deep learning research resources☆753Updated 2 years ago
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,534Updated 3 months ago
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,030Updated this week
- Fast & Simple Resource-Constrained Learning of Deep Network Structure☆1,030Updated 3 weeks ago
- Benchmarking Deep Learning operations on different hardware☆1,087Updated 4 years ago
- WeChat: NeuralTalk，Weekly report and awesome list of embedded-ai.☆380Updated 2 years ago