convolutional-networks

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

Updated Oct 6, 2021
Python

GRAND-Lab / Awesome-Graph-Neural-Networks

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Paper Lists for Graph Neural Networks

deep-learning convolutional-networks graph-attention graph-network generated-graphs graph-auto-encoder

Updated Jul 3, 2022

towhee-io / towhee

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Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

machine-learning computer-vision pipeline image-processing embeddings transformer video-processing feature-extraction convolutional-networks vit feature-vector image-retrieval unstructured-data embedding-vectors milvus vision-transformer towhee

Updated Mar 6, 2023
Python

experiencor / keras-yolo2

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Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

deep-learning realtime regression convolutional-networks yolo2

Updated Nov 21, 2022
Jupyter Notebook

wkentaro / pytorch-fcn

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PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

computer-vision deep-learning pytorch fcn convolutional-networks semantic-segmentation fcn8s

Updated Feb 5, 2023
Python

implus / PytorchInsight

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a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Updated Dec 8, 2020
Python

InFoCusp / tf_cnnvis

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CNN visualization tool in TensorFlow

visualization tensorflow cnn deepdream tensorboard convolutional-networks convolutional-neural-networks

Updated Mar 16, 2019
Python

bentrevett / pytorch-image-classification

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Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

tutorial cnn pytorch vgg lenet image-classification resnet alexnet convolutional-networks convolutional-neural-networks convolutional-neural-network pytorch-tutorial pytorch-tutorials pytorch-cnn pytorch-implmention torchvision pytorch-implementation

Updated Dec 28, 2021
Jupyter Notebook

ducha-aiki / caffenet-benchmark

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Evaluation of the CNN design choices performance on ImageNet-2012.

benchmark caffe architecture dataset imagenet convolutional-networks convolutional-neural-networks activations relu batch-size caffenet lr-policy

Updated Jul 30, 2017
Jupyter Notebook

cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline

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Fully Convlutional Neural Networks for state-of-the-art time series classification

deep-learning time-series convolutional-networks

Updated Jul 3, 2019
Python

experiencor / self-driving-toy-car

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A self driving toy car using end-to-end learning

raspberry-pi machine-learning deep-learning servo self-driving-car convolutional-networks cnn-keras

Updated Jul 28, 2017
Jupyter Notebook

tobybreckon / fire-detection-cnn

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real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)