Alternatives and similar repositories for flopco-keras

Users that are interested in flopco-keras are comparing it to the libraries listed below

• tokusumi / keras-flops
  FLOPs calculator with tf.profiler for neural network architecture written in tensorflow 2.2+ (tf.keras)
  ☆54Updated last year
• Mxbonn / visualwakewords
  Python library to work with the Visual Wake Words Dataset.
  ☆36Updated 4 years ago
• larq / zoo
  Reference implementations of popular Binarized Neural Networks
  ☆107Updated 3 weeks ago
• Raukk / tf-keras-surgeon
  Pruning and other network surgery for trained TF.Keras models.
  ☆32Updated 5 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆99Updated 3 years ago
• zhenhuaw-me / tflite
  Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/
  ☆101Updated 5 months ago
• eliberis / tflite-tools
  TFLite model analyzer & memory optimizer
  ☆127Updated last year
• uber-research / permute-quantize-finetune
  Using ideas from product quantization for state-of-the-art neural network compression.
  ☆145Updated 3 years ago
• Deeplite / deeplite-profiler
  A collection of metrics to profile a single deep learning model or compare two different deep learning models
  ☆26Updated last year
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• kentaroy47 / benchmark-FP32-FP16-INT8-with-TensorRT
  Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
  ☆56Updated 2 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆154Updated 11 months ago
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆97Updated 8 months ago
• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆80Updated 4 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 4 years ago
• Sanjana7395 / static_quantization
  Post-training static quantization using ResNet18 architecture
  ☆37Updated 4 years ago
• jkjung-avt / keras_imagenet
  Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch
  ☆71Updated 3 years ago
• marcoancona / TorchPruner
  On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…
  ☆164Updated 5 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆105Updated 4 years ago
• human-analysis / MUXConv
  MUXConv: Information Multiplexing in Convolutional Neural Networks (CVPR '20), Pytorch Implementation
  ☆51Updated 4 years ago
• michaeltinsley / awesome-binary-neural-networks
  A curated list of binary neural network research papers and software packages.
  ☆26Updated 5 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆136Updated last year
• 1adrianb / expert-binary-networks
  Code for High-Capacity Expert Binary Networks (ICLR 2021).
  ☆27Updated 3 years ago
• yashbhalgat / QualcommAI-MicroNet-submission-MixNet
  3rd place solution for NeurIPS 2019 MicroNet challenge
  ☆35Updated 5 years ago
• luuuyi / SqueezeNext.PyTorch
  re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)
  ☆29Updated 7 years ago
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• jaygshah / Binary-Neural-Networks
  Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage…
  ☆74Updated 4 years ago
• CarloLepelaars / ghostnet_tf2
  An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")
  ☆38Updated 2 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago