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
  ☆907Updated 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
• google / qkeras
  QKeras: a quantization deep learning library for Tensorflow Keras
  ☆578Updated 5 months ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆281Updated 11 months ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆400Updated 4 years 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.
  ☆1,677Updated 8 months ago
• larq / larq
  An Open-Source Library for Training Binarized Neural Networks
  ☆723Updated last year
• Xilinx / Vitis-AI-Tutorials
  ☆483Updated last month
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆287Updated last year
• fastmachinelearning / hls4ml
  Machine learning on FPGAs using HLS
  ☆1,712Updated this week
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆249Updated last year
• fastmachinelearning / qonnx
  QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
  ☆166Updated this week
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆306Updated last year
• itayhubara / BinaryNet.pytorch
  Binarized Neural Network (BNN) for pytorch
  ☆530Updated 2 years ago
• fastmachinelearning / hls4ml-tutorial
  Tutorial notebooks for hls4ml
  ☆393Updated 2 weeks ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆263Updated 2 years ago
• jiecaoyu / XNOR-Net-PyTorch
  PyTorch Implementation of XNOR-Net
  ☆495Updated 2 years ago
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆558Updated 5 months ago
• 1adrianb / binary-networks-pytorch
  Binarize convolutional neural networks using pytorch
  ☆149Updated 3 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆445Updated 2 years ago
• mit-han-lab / tinyml
  ☆1,029Updated 2 years ago
• BRTResearch / AIChip_Paper_List
  ☆649Updated 4 years ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,940Updated last year
• NVlabs / timeloop
  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
  ☆431Updated 2 months ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆279Updated 2 years ago
• Xilinx / finn-examples
  Dataflow QNN inference accelerator examples on FPGAs
  ☆239Updated 3 months ago
• mlcommons / tiny
  MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆435Updated last week
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆540Updated 2 years ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆852Updated 7 months ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆432Updated 2 years ago