convolutional-networks

There are 30 repositories under convolutional-networks topic.

Pytorch-UNet
milesial / Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
pytorch unet pytorch-unet semantic-segmentation convolutional-networks kaggle tensorboard wandb weights-and-biases deep-learning convolutional-neural-networks
Language:Python 9345
thtrieu / darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
convolutional-networks convolutional-neural-networks darknet deep-learning deep-neural-networks graph image-processing machine-learning mobile-development object-detection real-time tensorflow
Language:Python 6135
udacity / deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
convolutional-networks deep-learning neural-network pytorch recurrent-networks sentiment-analysis style-transfer
Language:Jupyter Notebook 5322
quark0 / darts
Differentiable architecture search for convolutional and recurrent networks
automl convolutional-networks deep-learning image-classification language-modeling neural-architecture-search pytorch recurrent-networks
Language:Python 3924
towhee-io / towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
machine-learning convolutional-networks embedding-vectors embeddings computer-vision image-processing video-processing feature-extraction image-retrieval unstructured-data feature-vector transformer milvus towhee vision-transformer vit pipeline llm
Language:Python 3244
KupynOrest / DeblurGAN
Image Deblurring using Generative Adversarial Networks
deep-learning gan deblurring image-processing image-manipulation neural-network convolutional-neural-networks convolutional-networks computer-vision image-to-image-translation blurry-images pytorch paper pix2pix
Language:Python 2525
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
batch-normalization-fuse bnn convolutional-networks dorefa group-convolution integer-arithmetic-only model-compression network-in-network network-slimming neuromorphic-computing onnx post-training-quantization pruning pytorch quantization quantization-aware-training tensorrt tensorrt-int8-python twn xnor-net
Language:Python 2224
TrustAGI-Lab / Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
graph-network convolutional-networks deep-learning graph-attention generated-graphs graph-auto-encoder
2220
wkentaro / pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
computer-vision convolutional-networks deep-learning fcn fcn8s pytorch semantic-segmentation
Language:Python 1750
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).
convolutional-networks deep-learning realtime regression yolo2
Language:Jupyter Notebook 1730
hurshd0 / must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
convolutional-networks data-analysis data-science deep-learning exploratory-data-analysis generalized-additive-models machine-learning neural-networks papers recommender-system recurrent-neural-networks rnn-lstm
1009
bentrevett / pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
pytorch pytorch-tutorial image-classification cnn torchvision lenet alexnet vgg resnet tutorial pytorch-implmention pytorch-implementation pytorch-tutorials pytorch-cnn convolutional-neural-networks convolutional-neural-network convolutional-networks
Language:Jupyter Notebook 984
implus / PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
pytorch classification detection state-of-the-art pretrained-models sknet senet gcnet cbam bam sge cnn cnn-tricks tricks shufflenetv2 training-shufflenetv2 convolutional-networks weight-decay attention-models weight-normalization-family
Language:Python 860
infocusp / tf_cnnvis
CNN visualization tool in TensorFlow
tensorflow tensorboard convolutional-neural-networks cnn visualization deepdream convolutional-networks
Language:Python 780
ducha-aiki / caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
convolutional-neural-networks convolutional-networks batch-size caffenet lr-policy architecture relu caffe benchmark activations dataset imagenet
Language:Jupyter Notebook 743
cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
convolutional-networks deep-learning time-series
Language:Python 680
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 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
Language:Python 544
experiencor / self-driving-toy-car
A self driving toy car using end-to-end learning
cnn-keras convolutional-networks deep-learning machine-learning raspberry-pi self-driving-car servo
Language:Jupyter Notebook 512
FrancescoSaverioZuppichini / glasses
High-quality Neural Networks for Computer Vision 😎
classification computer-vision convolutional-networks deep-learning deep-neural-networks machine-learning neural-network pretrained-models pytorch
Language:Jupyter Notebook 436
ethanhe42 / u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
convolutional-networks convolutional-neural-networks deep-learning deep-neural-networks image-segmentation keras medical-imaging python tensorflow unet
Language:Python 429
buomsoo-kim / Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
convolutional-networks convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks gru lstm neural-network neural-networks rnn
Language:Jupyter Notebook 410
AdicherlaVenkataSai / ml-workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
machine-learning data-science python gans harvard-edx convolutional-networks interview-questions cheat-sheets deep-learning deep-neural-networks
370
skcript / tensorflow-resources
Curated Tensorflow code resources to help you get started with Deep Learning.
ai artificial-neural-networks classification convolutional-networks deep-learning machine-learning prediction regression tensorflow tensorflow-examples tensorflow-resources
Language:Python 340
TNTLFreiburg / braindecode
Outdated, see new https://github.com/braindecode/braindecode
brain-signal-decoding convolutional-networks convolutional-neural-networks deep-learning eeg
Language:Python 322
ai-med / squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
convolutional-networks deep-learning fully-convolutional-networks pytorch segmentation squeeze-and-excitation
Language:Python 315
naszilla / naszilla
Naszilla is a Python library for neural architecture search (NAS)
automl bananas cifar10 convolutional-networks convolutional-neural-networks deep-learning meta-neural-network nas-algorithms neural-architecture-search pytorch tensorflow
Language:Python 305
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
deep-learning machine-learning natural-language-processing computer-vision gaussian-processes variational-autoencoders neural-machine-translation neural-network convolutional-networks semi-supervised-learning variational-inference kernel-learning representation-learning deep-kernel-learning
285
ducha-aiki / affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
deep-learning local-features convolutional-neural-networks convolutional-networks pytorch computer-vision hessian image-retrieval image-matching affine-shape-estimator
Language:Python 266
AdalbertoCq / Deep-Learning-Specialization-Coursera
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
deep-learning coursera batch-normalization neural-network convolutional-networks regularization optimization
Language:Jupyter Notebook 265
ImagingLab / Colorizing-with-GANs
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
colorization convolutional-networks deep-learning gans generative-adversarial-network
Language:Python 263
uoip / SSD-variants
PyTorch implementation of several SSD based object detection algorithms.
ssd object-detection convolutional-networks deep-learning pytorch one-stage
Language:Python 240
anuragranj / spynet
Spatial Pyramid Network for Optical Flow
deep-learning convolutional-networks optical-flow spatial-pyramid-network spynet
Language:Lua 236
hugochan / Eye-Tracker
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
computer-vision convolutional-networks deep-learning gaze-tracking tensorflow
Language:Python 232
wkentaro / fcn
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
chainer computer-vision convolutional-networks deep-learning fcn fcn8s segmentation semantic-segmentation
Language:Python 218
JihongJu / keras-fcn
A playable implementation of Fully Convolutional Networks with Keras.
convolutional-networks keras keras-neural-networks
Language:Python 202
Issam28 / Brain-tumor-segmentation
A deep learning based approach for brain tumor MRI segmentation.
deep-learning brain-tumor-segmentation cnn-keras u-net tensorflow computer-vision mri-images convolutional-networks
Language:Python 194

convolutional-networks

milesial / Pytorch-UNet

thtrieu / darkflow

udacity / deep-learning-v2-pytorch

quark0 / darts

towhee-io / towhee

KupynOrest / DeblurGAN

666DZY666 / micronet

TrustAGI-Lab / Awesome-Graph-Neural-Networks

wkentaro / pytorch-fcn

experiencor / keras-yolo2

hurshd0 / must-read-papers-for-ml

bentrevett / pytorch-image-classification

implus / PytorchInsight

infocusp / tf_cnnvis

ducha-aiki / caffenet-benchmark

cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline

tobybreckon / fire-detection-cnn

experiencor / self-driving-toy-car

FrancescoSaverioZuppichini / glasses

ethanhe42 / u-net

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

AdicherlaVenkataSai / ml-workspace

skcript / tensorflow-resources

TNTLFreiburg / braindecode

ai-med / squeeze_and_excitation

naszilla / naszilla

hoangcuong2011 / Good-Papers

ducha-aiki / affnet

AdalbertoCq / Deep-Learning-Specialization-Coursera

ImagingLab / Colorizing-with-GANs

uoip / SSD-variants

anuragranj / spynet

hugochan / Eye-Tracker

wkentaro / fcn

JihongJu / keras-fcn

Issam28 / Brain-tumor-segmentation