Alternatives and similar repositories for brevitas

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

• Xilinx / finn
  Dataflow compiler for QNN inference on FPGAs
  ☆835Updated this week
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆441Updated 2 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆275Updated 6 months ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆389Updated 4 years ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆279Updated last year
• itayhubara / BinaryNet.pytorch
  Binarized Neural Network (BNN) for pytorch
  ☆519Updated last year
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 10 months ago
• Xilinx / Vitis-AI-Tutorials
  ☆449Updated last year
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆816Updated 2 months ago
• google / qkeras
  QKeras: a quantization deep learning library for Tensorflow Keras
  ☆566Updated 2 weeks ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆296Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆150Updated this week
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• fastmachinelearning / hls4ml-tutorial
  Tutorial notebooks for hls4ml
  ☆346Updated last month
• fastmachinelearning / hls4ml
  Machine learning on FPGAs using HLS
  ☆1,507Updated this week
• Xilinx / CHaiDNN
  HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
  ☆325Updated 5 years ago
• Xilinx / finn-examples
  Dataflow QNN inference accelerator examples on FPGAs
  ☆218Updated 3 months ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆533Updated 2 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆442Updated last year
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆549Updated last week
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆430Updated last year
• NVlabs / timeloop
  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
  ☆395Updated 2 weeks ago
• TomG008 / SkyNet
  ☆239Updated 3 years ago
• jiecaoyu / XNOR-Net-PyTorch
  PyTorch Implementation of XNOR-Net
  ☆495Updated 2 years ago
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆442Updated 2 weeks ago
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆335Updated 11 months ago
• liuzechun / ReActNet
  ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
  ☆259Updated 3 years ago
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆720Updated 10 months ago
• Xilinx / Vitis-AI
  Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
  ☆1,612Updated 2 months ago