google / qkerasLinks
QKeras: a quantization deep learning library for Tensorflow Keras
☆578Updated 6 months ago
Alternatives and similar repositories for qkeras
Users that are interested in qkeras are comparing it to the libraries listed below
Sorting:
- An Open-Source Library for Training Binarized Neural Networks☆723Updated last year
- Reference implementations of popular Binarized Neural Networks☆109Updated last week
- MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers☆435Updated last week
- Brevitas: neural network quantization in PyTorch☆1,449Updated this week
- Highly optimized inference engine for Binarized Neural Networks☆251Updated this week
- Dataflow compiler for QNN inference on FPGAs☆914Updated this week
- TFLite model analyzer & memory optimizer☆135Updated last year
- vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers☆597Updated 4 months ago
- Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks☆620Updated 5 years ago
- Tutorial notebooks for hls4ml☆393Updated 2 weeks ago
- QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX☆167Updated this week
- Jupyter notebook examples on image classification with quantized neural networks☆70Updated 5 years ago
- μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.☆82Updated 4 years ago
- ☆245Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆287Updated last year
- Dataflow QNN inference accelerator examples on FPGAs☆239Updated 3 months ago
- Getting Started with Xilinx ML Suite☆339Updated 4 years ago
- ☆483Updated last month
- generate tflite micro code which bypasses the interpreter (directly calls into kernels)☆83Updated 3 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆87Updated 6 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 10 months ago
- IBM Analog Hardware Acceleration Kit☆442Updated 3 weeks ago
- Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.☆226Updated 6 years ago
- N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.☆156Updated last year
- An Open Source Deep Learning Inference Engine Based on FPGA☆163Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆281Updated last year
- FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)☆281Updated 6 years ago
- Machine learning on FPGAs using HLS☆1,720Updated this week
- This repository contains the results and code for the MLPerf™ Tiny Inference v0.7 benchmark.☆19Updated 2 years ago
- Open Source Compiler Framework using ONNX as Frontend and IR☆33Updated 3 years ago