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Search results for convolutional neural networks augmentation

convolutional-neural-networks x

28 search results found

Eda_nlp ⭐ 1,405

Data augmentation for NLP, presented at EMNLP 2019

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

Simple Railway Captcha Solver ⭐ 703

實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)

Keras Fcn ⭐ 606

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

Pytorch Randaugment ⭐ 557

Unofficial PyTorch Reimplementation of RandAugment.

Efficient Learning of Augmentation Policy Schedules

Cifar10 Tensorflow ⭐ 395

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率

Panotti ⭐ 248

A multi-channel neural network audio classifier using Keras

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Tensorflow Mnist Cnn ⭐ 171

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Mojo Cnn ⭐ 152

mojo cnn: c++ convolutional neural network

Wb_color_augmenter ⭐ 147

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Mk Tfjs ⭐ 132

Play MK.js with TensorFlow.js

Chainer Cifar10 ⭐ 132

Various CNN models for CIFAR10 with Chainer

Ti Pooling ⭐ 117

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Speech Emotion Classification With Pytorch ⭐ 100

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Meme Generator ⭐ 87

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Face_landmark_dnn ⭐ 83

Face Landmark Detector based on Mobilenet V1

Simplenet ⭐ 83

This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )

Data augmentation using synthetic data for time series classification with deep residual networks

Wav2letter.pytorch ⭐ 67

A fully convolution-network for speech-to-text, built on pytorch.

Driver Anomaly Detection ⭐ 64

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

Freesound Audio Tagging 2019 ⭐ 62

Freesound Audio Tagging 2019

Nucleidetectron ⭐ 54

7th place solution for the 2018 Data Science Bowl with a score of 0.591

Semantic Segmentation With Mobilenetv3 ⭐ 50

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Dense Steerable Filter CNN

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

Medical_image_segmentation ⭐ 43

Medical image segmentation ( Eye vessel segmentation)

Brain Tumor Detection ⭐ 39

Brain Tumor Detection Using Convolutional Neural Networks.

Deepcrispr ⭐ 39

Dialectid_e2e ⭐ 38

End to End Dialect Identification using Convolutional Neural Network

Awesome Object Detections ⭐ 34

object detection records

Adversarial_spatial ⭐ 34

Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.

Face_age_gender ⭐ 34

Can we predict the age and gender of someone given a picture of their face ?

Pytorch Unet ⭐ 29

2D and 3D UNet implementation in PyTorch.

Kaggle Human Protein Atlas Image Classification ⭐ 28

Kaggle 2018 @ Human Protein Atlas Image Classification

Simple image augmentation library focusing on random geometric cropping

Keras_tutorial ⭐ 23

Real-time augmentation of data for inputs into deep learning models.

Deep Chemometrics ⭐ 21

Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

A Python package for geometric transformations of images for data augmentation in deep learning

Fastai Deep Learning From The Foundations Twiml Study Group ⭐ 20

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

Multiscale Cnn Classifier ⭐ 19

Reproduce GTSRB results of classic deep learning papers.

Memae Tf2 ⭐ 19

TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

Temporal Augmentation ⭐ 17

Temporal augmentation with two-stream ConvNet features on human action recognition

Cat Dog Cnn Classifier ⭐ 16

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Food101 Tensorflow ⭐ 16

🌮 Classify Food Images from the Food-101 Dataset Using Transfer Learning (ResNet50).

Tensorflow Crack Classification ⭐ 15

CNN for crack classification, intended for use in a crack inspection pipeline (see references).

Mn_classifier_cnns ⭐ 12

A convolutional neural network classifier for determining the oxidation state of Manganese

Arcnn Pytorch ⭐ 12

PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)

Labelme Dataaugmentation Maskrcnn Yolov3 Pipeline ⭐ 11

A Labelme to Data Augmentation to Mask R-CNN or YOLO v3 pipeline for small own dataset.

Python Toolkit of Computer Vision Research.

Fetal Distress Classification ⭐ 10

Project to save innocent infant lives using Cardiotocography and CNN image classification

Code for "CNN^2: Viewpoint Generalization via a Binocular Vision" (NeurIPS 2019)

Maskrcnn Utils ⭐ 10

Utilities for working with Mask R-CNN, a neural network for object instance segmentation.

Multimodal Fully Convolutional Neural networks for Semantic Segmentation.

Mcnfasterrcnn ⭐ 9

Training code for the Faster-RCNN detector

Behavioral Cloning ⭐ 9

Deep Learning to Clone Driving Behavior

The Nature Conservancy Fisheries Monitoring Challenge ⭐ 8

Traffic Sign Classifier ⭐ 8

In this project, deep neural networks and convolutional neural networks are used to classify traffic signs. A model is trained so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, the model is tested on new images of traffic signs that are found on the web

Audio Toy ⭐ 7

基于CNN的音频识别

Mind_the_bend ⭐ 6

vision based deep learning for racing games 🏎️

Uniformaugment ⭐ 6

Unofficial PyTorch Reimplementation of UniformAugment.

Final Year Projrct ⭐ 6

AUTOMATED TYPE CLASSIFICATION OF DIABETIC RETINOPATHY AND GLAUCOMA DETECTION USING DEEP LEARNING

Classic Augmentation Based Classifier Generative Adversarial Network (CACGAN) for COVID-19 Diagnosis

Training_a_cnn_with_little_data ⭐ 6

Design and train a CNN with few training examples using data augmentation and pseudo labeling with keras.

Machine_learning_projects ⭐ 5

This Repository Contains all my Machine Learning Projects that I have mad for, Competitions that I have Participated or tried for Practice.

Imagedenoisingautoencdoer ⭐ 5

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

Cnn Classification Using Random Erasing And Cut Out ⭐ 5

This demo shows how to perform random erasing/cut out augmentation in CNN classification using MATLAB.

Facial Recognition ⭐ 5

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