Topic: convolutional-networks Goto Github

👇 Here are 212 public repositories matching this topic...

666dzy666 / micronet
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、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
User: 666dzy666
quantization pruning dorefa twn bnn xnor-net pytorch model-compression group-convolution network-slimming

adalbertocq / deep-learning-specialization-coursera
convolutional-networks,Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
User: adalbertocq
deep-learning coursera batch-normalization neural-network convolutional-networks regularization optimization

adicherlavenkatasai / ml-workspace
convolutional-networks,Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
User: adicherlavenkatasai
machine-learning data-science python gans harvard-edx convolutional-networks interview-questions cheat-sheets deep-learning deep-neural-networks

adobe / stringlifier
convolutional-networks,Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Organization: adobe
machine-learning python3 api analysis unsupervised-machine-learning clustering tf-idf raw-text pytorch convolutional-networks long-short-term-memory classification

ai-med / squeeze_and_excitation
convolutional-networks,PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Organization: ai-med
Home Page: https://arxiv.org/abs/1808.08127
convolutional-networks deep-learning fully-convolutional-networks pytorch segmentation squeeze-and-excitation

alexisbcook / keras_transfer_cifar10
convolutional-networks,Object classification with CIFAR-10 using transfer learning
User: alexisbcook
keras keras-neural-networks keras-models keras-classification-models keras-visualization images image-classification classification classifier classification-algorithm

anuragranj / spynet
convolutional-networks,Spatial Pyramid Network for Optical Flow
User: anuragranj
deep-learning convolutional-networks optical-flow spatial-pyramid-network spynet

bentrevett / pytorch-image-classification
convolutional-networks,Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
User: bentrevett
pytorch pytorch-tutorial image-classification cnn torchvision lenet alexnet vgg resnet tutorial

buomsoo-kim / easy-deep-learning-with-keras
convolutional-networks,Keras tutorial for beginners (using TF backend)
User: buomsoo-kim
rnn gru lstm deep-learning deep-neural-networks neural-network neural-networks convolutional-neural-networks convolutional-networks convolutional-neural-network

cauchyturing / ucr_time_series_classification_deep_learning_baseline
convolutional-networks,Fully Convlutional Neural Networks for state-of-the-art time series classification
User: cauchyturing
time-series deep-learning convolutional-networks

cvjena / cn24
convolutional-networks,Convolutional (Patch) Networks for Semantic Segmentation
Organization: cvjena
convolutional-networks opencl deep-learning segmentation

dataxujing / cnn-paper2
convolutional-networks,:art: :art: 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等:art::art: https://dataxujing.github.io/CNN-paper2/
User: dataxujing
Home Page: https://dataxujing.github.io/CNN-paper2/
arxiv cnn convolutional-networks cv deep-neural-networks deeplearning detection face-detection gans iccv-arxiv object-detection segmentation

dorajam / convolutional-network
convolutional-networks,A convolutional neural network from scratch
User: dorajam
artificial-intelligence computer-vision convolutional-networks machine-learning

ducha-aiki / affnet
convolutional-networks,Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
User: ducha-aiki
affine-shape-estimator computer-vision convolutional-networks convolutional-neural-networks deep-learning hessian image-matching image-retrieval local-features pytorch

ducha-aiki / caffenet-benchmark
convolutional-networks,Evaluation of the CNN design choices performance on ImageNet-2012.
User: ducha-aiki
convolutional-neural-networks convolutional-networks batch-size caffenet lr-policy architecture relu caffe benchmark activations

ducha-aiki / lsuvinit
convolutional-networks,Reference caffe implementation of LSUV initialization
User: ducha-aiki
caffe lsuv lsuv-initialization initialization convolutional-neural-networks convolutional-networks deep-learning

ekazakos / temporal-binding-network
convolutional-networks,Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch
User: ekazakos
fusion audio-visual convolutional-networks egocentric action-recognition

ethanhe42 / u-net
convolutional-networks,U-Net: Convolutional Networks for Biomedical Image Segmentation
User: ethanhe42
Home Page: https://yihui-he.github.io/blog/ultrasound-nerve-segmentation-with-tensorflow
image-segmentation keras medical-imaging deep-neural-networks convolutional-networks deep-learning convolutional-neural-networks tensorflow python unet

experiencor / keras-yolo2
convolutional-networks,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).
User: experiencor
convolutional-networks deep-learning yolo2 realtime regression

experiencor / self-driving-toy-car
convolutional-networks,A self driving toy car using end-to-end learning
User: experiencor
Home Page: https://experiencor.github.io/self_driving_toy_car.html
raspberry-pi cnn-keras deep-learning machine-learning servo self-driving-car convolutional-networks

francescosaveriozuppichini / glasses
convolutional-networks,High-quality Neural Networks for Computer Vision 😎
User: francescosaveriozuppichini
Home Page: https://francescosaveriozuppichini.github.io/glasses-webapp/
deep-learning machine-learning computer-vision neural-network pretrained-models convolutional-networks deep-neural-networks classification pytorch

grand-lab / awesome-graph-neural-networks
convolutional-networks,Paper Lists for Graph Neural Networks
Organization: grand-lab
graph-network convolutional-networks deep-learning graph-attention generated-graphs graph-auto-encoder

guanyingc / ps-fcn
convolutional-networks,Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)
User: guanyingc
Home Page: https://guanyingc.github.io/PS-FCN
convolutional-networks non-lambertian photometric-stereo pytorch

hoangcuong2011 / good-papers
convolutional-networks,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
User: hoangcuong2011
deep-learning machine-learning natural-language-processing computer-vision gaussian-processes variational-autoencoders neural-machine-translation neural-network convolutional-networks semi-supervised-learning

hugochan / eye-tracker
convolutional-networks,Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
User: hugochan
convolutional-networks deep-learning computer-vision gaze-tracking tensorflow

hurshd0 / must-read-papers-for-ml
convolutional-networks,Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
User: hurshd0
deep-learning machine-learning data-science papers neural-networks convolutional-networks recurrent-neural-networks recommender-system rnn-lstm exploratory-data-analysis

imaginglab / colorizing-with-gans
convolutional-networks,Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Organization: imaginglab
deep-learning generative-adversarial-network gans colorization convolutional-networks

implus / pytorchinsight
convolutional-networks,a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
User: implus
pytorch classification detection state-of-the-art pretrained-models sknet senet gcnet cbam bam

infocusp / tf_cnnvis
convolutional-networks,CNN visualization tool in TensorFlow
Organization: infocusp
tensorflow tensorboard convolutional-neural-networks cnn visualization deepdream convolutional-networks

issam28 / brain-tumor-segmentation
convolutional-networks,A deep learning based approach for brain tumor MRI segmentation.
User: issam28
deep-learning brain-tumor-segmentation cnn-keras u-net tensorflow computer-vision mri-images convolutional-networks

jihongju / keras-fcn
convolutional-networks,A playable implementation of Fully Convolutional Networks with Keras.
User: jihongju
keras-neural-networks keras convolutional-networks

josedolz / livianet
convolutional-networks,This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
User: josedolz
cnn convolutional-neural-networks image-segmentation deep-learning medical-imaging 3d-convolutional-network 3d-cnn medical-image-processing convolutional-networks theano mri neural-networks neuroimage neuroimaging deep-learning-algorithms deep-neural-networks brain-segmentation medical-image-segmentation medical-image-analysis

kupynorest / deblurgan
convolutional-networks,Image Deblurring using Generative Adversarial Networks
User: kupynorest
deep-learning gan deblurring image-processing image-manipulation neural-network convolutional-neural-networks convolutional-networks computer-vision image-to-image-translation

milesial / pytorch-unet
convolutional-networks,PyTorch implementation of the U-Net for image semantic segmentation with high quality images
User: milesial
pytorch unet pytorch-unet semantic-segmentation convolutional-networks kaggle tensorboard wandb weights-and-biases deep-learning

mrinmoihossain / deep-learning-specialization-coursera
convolutional-networks,Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
User: mrinmoihossain
deep-learning neural-networks coursera convolutional-networks optimization regularization sequence-models

naszilla / naszilla
convolutional-networks,Naszilla is a Python library for neural architecture search (NAS)
Organization: naszilla
automl bananas cifar10 convolutional-networks convolutional-neural-networks deep-learning meta-neural-network nas-algorithms neural-architecture-search pytorch tensorflow

quark0 / darts
convolutional-networks,Differentiable architecture search for convolutional and recurrent networks
User: quark0
Home Page: https://arxiv.org/abs/1806.09055
automl convolutional-networks deep-learning image-classification language-modeling neural-architecture-search pytorch recurrent-networks

richzhang / antialiased-cnns
convolutional-networks,Repository has been moved: https://github.com/adobe/antialiased-cnns
User: richzhang
convolutional-networks convolutional-neural-networks deep-learning icml-2019 shift-equivariant shift-invariant

shawnyuen / semantic_seg_paper_collection
convolutional-networks,
User: shawnyuen
deep-learning semantic-segmentation instance-segmentation interactive-segmentation object-segmentation image-segmentation video-segmentation panoptic-segmentation neural-networks machine-learning

shuowang-ai / geniepath-pytorch
convolutional-networks,This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
User: shuowang-ai
Home Page: https://github.com/pyg-team/pytorch_geometric/blob/master/examples/geniepath.py
graph-network graph-neural-network gnn convolutional-networks gcn gat pyg

skcript / tensorflow-resources
convolutional-networks,Curated Tensorflow code resources to help you get started with Deep Learning.
Organization: skcript
Home Page: https://www.skcript.com/
tensorflow tensorflow-examples machine-learning artificial-neural-networks convolutional-networks regression classification deep-learning tensorflow-resources prediction

surmenok / gtsrb
convolutional-networks,Convolutional Neural Network for German Traffic Sign Recognition Benchmark
User: surmenok
deep-learning deep-neural-networks computer-vision convolutional-neural-networks convolutional-neural-network convolutional-networks cnn fastai pytorch self-driving-car

thtrieu / darkflow
convolutional-networks,Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
User: thtrieu
tensorflow graph darknet deep-learning deep-neural-networks convolutional-neural-networks convolutional-networks image-processing object-detection machine-learning

tntlfreiburg / braindecode
convolutional-networks,Outdated, see new https://github.com/braindecode/braindecode
Organization: tntlfreiburg
brain-signal-decoding convolutional-networks convolutional-neural-networks deep-learning eeg

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

towhee-io / towhee
convolutional-networks,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Organization: towhee-io
Home Page: https://towhee.io
machine-learning convolutional-networks embedding-vectors embeddings computer-vision image-processing video-processing feature-extraction image-retrieval unstructured-data

udacity / deep-learning-v2-pytorch
convolutional-networks,Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Organization: udacity
deep-learning neural-network convolutional-networks pytorch recurrent-networks style-transfer sentiment-analysis

uoip / ssd-variants
convolutional-networks,PyTorch implementation of several SSD based object detection algorithms.
User: uoip
convolutional-networks deep-learning object-detection one-stage pytorch ssd

wkentaro / fcn
convolutional-networks,Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
User: wkentaro
computer-vision chainer deep-learning segmentation fcn convolutional-networks semantic-segmentation fcn8s

wkentaro / pytorch-fcn
convolutional-networks,PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
User: wkentaro
pytorch computer-vision deep-learning semantic-segmentation convolutional-networks fcn fcn8s