google / qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
☆552Updated this week
Alternatives and similar repositories for qkeras:
Users that are interested in qkeras are comparing it to the libraries listed below
- An Open-Source Library for Training Binarized Neural Networks☆712Updated 6 months ago
- Brevitas: neural network quantization in PyTorch☆1,255Updated this week
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Reference implementations of popular Binarized Neural Networks☆107Updated 2 weeks ago
- Dataflow compiler for QNN inference on FPGAs☆787Updated this week
- Highly optimized inference engine for Binarized Neural Networks☆248Updated 3 weeks ago
- MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆373Updated this week
- Tutorial notebooks for hls4ml☆317Updated last week
- Dataflow QNN inference accelerator examples on FPGAs☆198Updated last month
- ☆425Updated 8 months ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆136Updated this week
- Machine learning on FPGAs using HLS☆1,358Updated this week
- Jupyter notebook examples on image classification with quantized neural networks☆71Updated 4 years ago
- ☆214Updated last year
- Low Precision Arithmetic Simulation in PyTorch☆271Updated 8 months ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆146Updated 7 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆379Updated 3 years ago
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.☆1,517Updated last week
- ☆75Updated 2 years ago
- TFLite model analyzer & memory optimizer☆122Updated last year
- Quantization of Convolutional Neural networks.☆243Updated 6 months ago
- FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)☆263Updated 5 years ago
- Simple Training and Deployment of Fast End-to-End Binary Networks☆158Updated 3 years ago
- HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs☆325Updated 5 years ago
- Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks☆596Updated 5 years ago
- An Open Source Deep Learning Inference Engine Based on FPGA☆158Updated 4 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆86Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆270Updated 2 months ago
- HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing☆331Updated 9 months ago
- Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.☆208Updated 5 years ago