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Top 66 convolutional-networks open source projects

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

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

Ssd Variants

PyTorch implementation of several SSD based object detection algorithms.

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python deep-learning pytorch object-detection ssd convolutional-networks

Ml Workspace

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

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

Fcn

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

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

Colorizing With Gans

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

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

Keras Fcn

A playable implementation of Fully Convolutional Networks with Keras.

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python keras convolutional-networks

Squeeze and excitation

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

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python deep-learning pytorch segmentation convolutional-networks fully-convolutional-networks

Affnet

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

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python deep-learning pytorch computer-vision convolutional-neural-networks image-retrieval convolutional-networks hessian

Naszilla

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

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python deep-learning pytorch tensorflow convolutional-neural-networks automl neural-architecture-search convolutional-networks cifar10

Antialiased Cnns

Repository has been moved: https://github.com/adobe/antialiased-cnns

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deep-learning convolutional-neural-networks convolutional-networks

Tf Adnet Tracking

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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python deep-learning tensorflow computer-vision reinforcement-learning deep-neural-networks convolutional-neural-networks cnn tracking tracker convolutional-networks

Deblurgan

Image Deblurring using Generative Adversarial Networks

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

Spynet

Spatial Pyramid Network for Optical Flow

✭ 158

lua deep-learning convolutional-networks optical-flow

Deep Learning Specialization Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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jupyter-notebook deep-learning neural-network optimization coursera convolutional-networks

Livianet

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"

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python deep-learning deep-neural-networks convolutional-neural-networks neural-networks cnn medical-imaging image-segmentation theano convolutional-networks deep-learning-algorithms neuroimaging

Eye Tracker

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

✭ 140

python deep-learning tensorflow computer-vision convolutional-networks

Glasses

High-quality Neural Networks for Computer Vision 😎

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

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).

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Jupyter Notebook python deep-learning realtime regression convolutional-networks yolo2

Cn24

Convolutional (Patch) Networks for Semantic Segmentation

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deep-learning segmentation opencl convolutional-networks

Keras transfer cifar10

Object classification with CIFAR-10 using transfer learning

✭ 120

jupyter-notebook visualization keras convolutional-neural-networks cnn classification image-classification images transfer-learning convolutional-networks classifier cnn-keras keras-models cnn-model

Convolutional Network

A convolutional neural network from scratch

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python machine-learning computer-vision artificial-intelligence convolutional-networks

Semanticsegpapercollection

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deep-learning machine-learning neural-networks semantic-segmentation image-segmentation instance-segmentation convolutional-networks fully-convolutional-networks

Lsuvinit

Reference caffe implementation of LSUV initialization

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deep-learning convolutional-neural-networks caffe convolutional-networks

Pytorch Fcn

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

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python deep-learning pytorch computer-vision semantic-segmentation convolutional-networks fcn

Awesome Graph Neural Networks

Paper Lists for Graph Neural Networks

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deep-learning convolutional-networks

Stringlifier

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.

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python python3 machine-learning pytorch api classification analysis clustering convolutional-networks tf-idf

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

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python pytorch onnx convolutional-networks quantization model-compression pruning

Cnn Paper2

🎨 🎨 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🎨🎨 https://dataxujing.github.io/CNN-paper2/

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object-detection deep-neural-networks cnn deeplearning segmentation detection face-detection gans cv convolutional-networks arxiv

Tensorflow Signal Processing

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

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python tensorflow signal-processing convolutional-networks

Gtsrb

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

✭ 65

jupyter-notebook deep-learning machine-learning pytorch computer-vision deep-neural-networks convolutional-neural-networks cnn self-driving-car convolutional-networks

Geniepath Pytorch

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

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python convolutional-networks

Image Captioning

Image Captioning: Implementing the Neural Image Caption Generator with python

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python deep-learning machine-learning computer-vision convolutional-neural-networks lstm recurrent-neural-networks convolutional-networks lstm-neural-networks image-captioning

Ps Fcn

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

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python pytorch convolutional-networks

Tensorflowhandwritingrecognition

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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python tensorflow neural-network convolutional-neural-networks neural-networks convolutional-networks

Tf cnnvis

CNN visualization tool in TensorFlow

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

Pytorchinsight

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

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python pytorch cnn classification detection pretrained-models convolutional-networks tricks

Caffenet Benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

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jupyter-notebook convolutional-neural-networks dataset architecture benchmark caffe imagenet convolutional-networks

Self Driving Toy Car

A self driving toy car using end-to-end learning

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jupyter-notebook deep-learning machine-learning raspberry-pi self-driving-car convolutional-networks cnn-keras

Ucr time series classification deep learning baseline

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

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python deep-learning time-series convolutional-networks

Deep Learning V2 Pytorch

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

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

U Net

U-Net: Convolutional Networks for Biomedical Image Segmentation

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python keras deep-neural-networks medical-imaging image-segmentation convolutional-networks

Pytorch Unet

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

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

Easy Deep Learning With Keras

Keras tutorial for beginners (using TF backend)

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

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)

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python deep-learning machine-learning tensorflow computer-vision object-detection deep-neural-networks convolutional-neural-networks convolutional-networks tensorflow-examples deep-learning-algorithms

Tensorflow Resources

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

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

Darts

Differentiable architecture search for convolutional and recurrent networks

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

Braindecode

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

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python deep-learning convolutional-neural-networks convolutional-networks eeg

Pytorch Image Classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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jupyter-notebook pytorch tutorial convolutional-neural-networks cnn image-classification resnet pytorch-tutorial convolutional-networks vgg pytorch-tutorials

LGCN

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

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python graph convolutional-networks

trident

Make pytorch and tensorflow two become one.

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python HTML deep-learning neural-network tensorflow pytorch convolutional-networks

auditory-slow-fast

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

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python convolutional-networks action-recognition audio-recognition multi-stream

LSUV-keras

Simple implementation of the LSUV initialization in keras

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python keras convolutional-networks deeplearning convolutional-neural-networks initialization lsuv lsuv-initialization

Paper Note

📚 记录一些自己读过的论文与笔记

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paper convolutional-networks image-segmentation

Tensorflow-For-Beginners

Introduction to deep learning with Tensorflow.

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Jupyter Notebook tutorial deep-neural-networks deep-learning neural-network anaconda tensorflow cnn neural-networks image-classification convolutional-networks convolutional-neural-networks covnet-image-classifier

darkflow

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

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

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

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python machine-learning computer-vision pipeline image-processing embeddings transformer video-processing feature-extraction convolutional-networks vit feature-vector image-retrieval unstructured-data embedding-vectors milvus vision-transformer towhee

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

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

Deep-Learning-Specialization-Coursera

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

✭ 75

Jupyter Notebook python deep-learning optimization coursera neural-networks regularization convolutional-networks sequence-models

Colorization.tensorflow

Image colorization using CNNs in tensorflow

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python tensorflow image-colorization convolutional-networks

DispNet-TensorFlow

TensorFlow implementation of DispNet by Zhijian Jiang.

✭ 55

python tensorflow convolutional-networks stereo-vision dispnet-tensorflow

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