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convolutional-networks

Here are 212 public repositories matching this topic...

thtrieu / darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

machine-learning real-time deep-neural-networks deep-learning graph tensorflow image-processing convolutional-networks convolutional-neural-networks object-detection darknet mobile-development

Updated May 26, 2022
Python

Pytorch-UNet

milesial / Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

deep-learning pytorch kaggle tensorboard convolutional-networks convolutional-neural-networks unet semantic-segmentation pytorch-unet wandb weights-and-biases

Updated Jul 8, 2022
Python

udacity / deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning sentiment-analysis neural-network pytorch recurrent-networks style-transfer convolutional-networks

Updated Jul 6, 2022
Jupyter Notebook

quark0 / darts

Differentiable architecture search for convolutional and recurrent networks

deep-learning language-modeling pytorch recurrent-networks image-classification convolutional-networks automl neural-architecture-search

Updated Jan 3, 2021
Python

KupynOrest / DeblurGAN

Image Deblurring using Generative Adversarial Networks

computer-vision deep-learning neural-network paper image-processing pytorch gan image-manipulation convolutional-networks convolutional-neural-networks pix2pix deblurring image-to-image-translation blurry-images

Updated Dec 25, 2019
Python

GRAND-Lab / Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

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

Updated Jul 3, 2022

experiencor / keras-yolo2

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 May 26, 2022
Jupyter Notebook

666DZY666 / micronet

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、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

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

Updated Oct 6, 2021
Python

wkentaro / pytorch-fcn

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 Jun 17, 2022
Python

implus / PytorchInsight

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

Updated Dec 8, 2020
Python

InFoCusp / tf_cnnvis

CNN visualization tool in TensorFlow

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

Updated Mar 16, 2019
Python

towhee-io / towhee

Open

[Feature]: Update notebook for Image animation

3

shiyu22 commented May 30, 2022

Is there an existing issue for this?

I have searched the existing issues.

Is your feature request related to a problem? Please describe.

There are some notebooks for reverse image search with the gradio showcase and [deploy fastapi with towhee.api](https://github.c

Read more

good first issue kind/feature

ducha-aiki / caffenet-benchmark

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

bentrevett / pytorch-image-classification

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

cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline

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

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

fire-detection-cnn

tobybreckon / fire-detection-cnn

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)

machine-learning deep-neural-networks computer-vision deep-learning tensorflow deep-learning-algorithms convolutional-networks convolutional-neural-networks object-detection network-architecture superpixels tensorflow-examples cnn-architecture fire-detector cnn-for-visual-recognition robot-vision fire-detection inceptionv1-onfire superpixel-segment firenet

Updated Jul 22, 2021
Python

buomsoo-kim / Easy-deep-learning-with-Keras

Keras tutorial for beginners (using TF backend)

deep-neural-networks deep-learning neural-network lstm gru neural-networks rnn convolutional-networks convolutional-neural-networks convolutional-neural-network

Updated Nov 14, 2020
Jupyter Notebook

yihui-he / u-net

U-Net: Convolutional Networks for Biomedical Image Segmentation

python deep-neural-networks deep-learning tensorflow keras medical-imaging convolutional-networks convolutional-neural-networks image-segmentation unet

Updated Feb 28, 2022
Python

skcript / tensorflow-resources

Curated Tensorflow code resources to help you get started with Deep Learning.

machine-learning ai deep-learning tensorflow regression prediction classification artificial-neural-networks convolutional-networks tensorflow-examples tensorflow-resources

Updated Sep 25, 2017
Python

AdicherlaVenkataSai / ml-workspace

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

python cheat-sheets data-science machine-learning deep-neural-networks deep-learning convolutional-networks interview-questions gans harvard-edx

Updated Sep 3, 2021

TNTLFreiburg / braindecode

Outdated, see new https://github.com/braindecode/braindecode

deep-learning eeg convolutional-networks convolutional-neural-networks brain-signal-decoding

Updated May 11, 2020
Python

FrancescoSaverioZuppichini / glasses

High-quality Neural Networks for Computer Vision 😎

machine-learning deep-neural-networks computer-vision deep-learning neural-network pytorch classification convolutional-networks pretrained-models

Updated Jul 10, 2022
Jupyter Notebook

hoangcuong2011 / Good-Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning

Updated Jun 5, 2019

naszilla / naszilla

Naszilla is a Python library for neural architecture search (NAS)

deep-learning tensorflow pytorch convolutional-networks convolutional-neural-networks cifar10 automl bananas neural-architecture-search meta-neural-network nas-algorithms

Updated Jan 14, 2022
Python

ai-med / squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

deep-learning pytorch segmentation convolutional-networks fully-convolutional-networks squeeze-and-excitation

Updated Jun 23, 2020
Python

uoip / SSD-variants

PyTorch implementation of several SSD based object detection algorithms.

deep-learning pytorch ssd convolutional-networks object-detection one-stage

Updated Jan 10, 2018
Python

ImagingLab / Colorizing-with-GANs

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

deep-learning generative-adversarial-network convolutional-networks gans colorization

Updated Oct 23, 2019
Python

wkentaro / fcn

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

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

Updated Oct 6, 2021
Python

ducha-aiki / affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

computer-vision deep-learning pytorch convolutional-networks convolutional-neural-networks hessian image-retrieval image-matching local-features affine-shape-estimator

Updated Jun 14, 2022
Python

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