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
  ☆890Updated last week
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆451Updated 2 years ago
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆718Updated last year
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆277Updated 10 months ago
• google / qkeras
  QKeras: a quantization deep learning library for Tensorflow Keras
  ☆576Updated 4 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.
  ☆1,660Updated 6 months ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆397Updated 4 years ago
• Xilinx / Vitis-AI-Tutorials
  ☆471Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆161Updated this week
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆286Updated last year
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆303Updated last year
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆259Updated 2 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆243Updated last year
• BRTResearch / AIChip_Paper_List
  ☆646Updated 4 years ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆843Updated 6 months ago
• fastmachinelearning / hls4ml
  Machine learning on FPGAs using HLS
  ☆1,670Updated last week
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆538Updated 2 years ago
• jiecaoyu / XNOR-Net-PyTorch
  PyTorch Implementation of XNOR-Net
  ☆495Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• Xilinx / finn-examples
  Dataflow QNN inference accelerator examples on FPGAs
  ☆236Updated 2 months ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆431Updated 2 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆263Updated 2 years ago
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆554Updated 4 months ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,934Updated last year
• itayhubara / BinaryNet.pytorch
  Binarized Neural Network (BNN) for pytorch
  ☆525Updated last year
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆443Updated last year
• NVlabs / timeloop
  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
  ☆423Updated last month
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆430Updated 2 months ago
• mit-han-lab / mcunet
  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep L…
  ☆609Updated last year
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆460Updated 2 months ago