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…

pytorch pruning convolutional-networks quantization xnor-net tensorrt model-compression bnn neuromorphic-computing group-convolution onnx network-in-network tensorrt-int8-python dorefa twn network-slimming integer-arithmetic-only quantization-aware-training post-training-quantization batch-normalization-fuse

UpdatedMay 6, 2025
Python

wkentaro /pytorch-fcn

Sponsor

Star1.8k

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

UpdatedFeb 5, 2023
Python

experiencor /keras-yolo2

Star1.7k

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

deep-learning realtime regression convolutional-networks yolo2

UpdatedMar 24, 2023
Jupyter Notebook

hurshd0 /must-read-papers-for-ml

Star1.3k

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

data-science machine-learning deep-learning exploratory-data-analysis recurrent-neural-networks neural-networks data-analysis recommender-system convolutional-networks papers generalized-additive-models rnn-lstm

UpdatedDec 2, 2023

bentrevett /pytorch-image-classification

Star1.1k

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

UpdatedDec 28, 2021
Jupyter Notebook

implus /PytorchInsight

Star871

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

detection tricks cnn sge pytorch classification convolutional-networks pretrained-models bam senet state-of-the-art gcnet shufflenetv2 cbam weight-decay sknet cnn-tricks training-shufflenetv2 attention-models weight-normalization-family

UpdatedDec 8, 2020
Python

infocusp /tf_cnnvis

Star780

CNN visualization tool in TensorFlow

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

UpdatedMar 16, 2019
Python

ducha-aiki /caffenet-benchmark

Star742

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

UpdatedJul 30, 2017
Jupyter Notebook

cauchyturing /UCR_Time_Series_Classification_Deep_Learning_Baseline

Star709

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

deep-learning time-series convolutional-networks

UpdatedJul 3, 2019
Python

tobybreckon /fire-detection-cnn

Star564

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)