convolutional-networks

There are 31 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 10533
thtrieu / darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
tensorflow graph darknet deep-learning deep-neural-networks convolutional-neural-networks convolutional-networks image-processing object-detection machine-learning real-time mobile-development
Language:Python 6154
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 5424
quark0 / darts
Differentiable architecture search for convolutional and recurrent networks
deep-learning automl image-classification language-modeling pytorch convolutional-networks recurrent-networks neural-architecture-search
Language:Python 3972
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 3422
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 2619
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
quantization pruning dorefa twn bnn xnor-net pytorch model-compression group-convolution network-slimming neuromorphic-computing convolutional-networks network-in-network integer-arithmetic-only quantization-aware-training post-training-quantization tensorrt onnx tensorrt-int8-python batch-normalization-fuse
Language:Python 2255
TrustAGI-Lab / Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
convolutional-networks deep-learning generated-graphs graph-attention graph-auto-encoder graph-network
2251
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 1772
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 1737
hurshd0 / must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
deep-learning machine-learning data-science papers neural-networks convolutional-networks recurrent-neural-networks recommender-system rnn-lstm exploratory-data-analysis data-analysis generalized-additive-models
1266
bentrevett / pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
alexnet cnn convolutional-networks convolutional-neural-network convolutional-neural-networks image-classification lenet pytorch pytorch-cnn pytorch-implementation pytorch-implmention pytorch-tutorial pytorch-tutorials resnet torchvision tutorial vgg
Language:Jupyter Notebook 1043
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 868
infocusp / tf_cnnvis
CNN visualization tool in TensorFlow
tensorflow tensorboard convolutional-neural-networks cnn visualization deepdream convolutional-networks
Language:Python 777
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 688
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)
cnn-architecture cnn-for-visual-recognition computer-vision convolutional-networks convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks fire-detection fire-detector firenet inceptionv1-onfire machine-learning network-architecture object-detection robot-vision superpixel-segment superpixels tensorflow tensorflow-examples
Language:Python 552
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 518
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 444
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 432
buomsoo-kim / Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
rnn gru lstm deep-learning deep-neural-networks neural-network neural-networks convolutional-neural-networks convolutional-networks convolutional-neural-network
Language:Jupyter Notebook 409
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
375
skcript / tensorflow-resources
Curated Tensorflow code resources to help you get started with Deep Learning.
tensorflow tensorflow-examples machine-learning artificial-neural-networks convolutional-networks regression classification deep-learning tensorflow-resources prediction ai
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 328
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 321
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 308
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 288
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
283
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 276
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 268
hugochan / Eye-Tracker
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
convolutional-networks deep-learning computer-vision gaze-tracking tensorflow
Language:Python 246
anuragranj / spynet
Spatial Pyramid Network for Optical Flow
convolutional-networks deep-learning optical-flow spatial-pyramid-network spynet
Language:Lua 240
uoip / SSD-variants
PyTorch implementation of several SSD based object detection algorithms.
convolutional-networks deep-learning object-detection one-stage pytorch ssd
Language:Python 239
wkentaro / fcn
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
computer-vision chainer deep-learning segmentation fcn convolutional-networks semantic-segmentation fcn8s
Language:Python 217
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.
brain-tumor-segmentation cnn-keras computer-vision convolutional-networks deep-learning mri-images tensorflow u-net
Language:Python 197

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

AdalbertoCq / Deep-Learning-Specialization-Coursera

hoangcuong2011 / Good-Papers

ducha-aiki / affnet

ImagingLab / Colorizing-with-GANs

hugochan / Eye-Tracker

anuragranj / spynet

uoip / SSD-variants

wkentaro / fcn

JihongJu / keras-fcn

Issam28 / Brain-tumor-segmentation