Alternatives and similar repositories for qkeras

Users that are interested in qkeras are comparing it to the libraries listed below

• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆720Updated 10 months ago
• larq / zoo
  Reference implementations of popular Binarized Neural Networks
  ☆107Updated 3 weeks ago
• Xilinx / brevitas
  Brevitas: neural network quantization in PyTorch
  ☆1,338Updated this week
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆150Updated this week
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆414Updated 2 weeks ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆279Updated last year
• fastmachinelearning / hls4ml-tutorial
  Tutorial notebooks for hls4ml
  ☆346Updated last month
• Xilinx / finn
  Dataflow compiler for QNN inference on FPGAs
  ☆835Updated this week
• larq / compute-engine
  Highly optimized inference engine for Binarized Neural Networks
  ☆250Updated last week
• danielholanda / LeFlow
  Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
  ☆614Updated 5 years ago
• NVlabs / timeloop
  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
  ☆395Updated 2 weeks ago
• Xilinx / finn-examples
  Dataflow QNN inference accelerator examples on FPGAs
  ☆218Updated 3 months ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆335Updated 11 months ago
• maltanar / qnn-inference-examples
  Jupyter notebook examples on image classification with quantized neural networks
  ☆69Updated 5 years ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆80Updated 4 years ago
• cornell-zhang / heterocl
  HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
  ☆338Updated last year
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆389Updated 4 years ago
• Xilinx / ml-suite
  Getting Started with Xilinx ML Suite
  ☆339Updated 4 years ago
• hsharma35 / dnnweaver2
  Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
  ☆215Updated 6 years ago
• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆146Updated 7 years ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆275Updated 6 months ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 10 months ago
• tensorflow / model-optimization
  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
  ☆1,534Updated 4 months ago
• fastmachinelearning / hls4ml
  Machine learning on FPGAs using HLS
  ☆1,507Updated this week
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆101Updated 4 months ago
• Xilinx / CHaiDNN
  HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
  ☆325Updated 5 years ago
• ONNC / onnc
  Open Neural Network Compiler
  ☆523Updated last year
• Xilinx / logicnets
  ☆94Updated last year