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1,064 search results found

Deep Learning Cv ⭐ 93

Course Material for "Application of Deep Learning in Computer Vision"

CORe50: a new Dataset and Benchmark for Continual Learning

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Sign2text ⭐ 92

Real-time AI-powered translation of American sign language to text

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Znn Release ⭐ 92

Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).

Sentencesentimentclassifier ⭐ 92

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

Ceras is yet another tiny deep learning engine, in pure c++ and header only.

Deep Learning ⭐ 90

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Deepdriver ⭐ 90

DeepDriver is a JAVA framework of Deep Learning, it supports ANN/CNN/DNN/RNN/LSTM now, hope it can be widely used for deep learning development.

Deep Learning For Beginners ⭐ 89

videos, lectures, blogs for Deep Learning

Textboxes : Image Text Detection Model : python package (tensorflow)

Sigmoidal_ai ⭐ 89

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

Breast Cancer Classification ⭐ 88

Breast Cancer Classification using CNN and transfer learning

Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network

Inpainting Gmcnn Keras ⭐ 87

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

12306_captcha ⭐ 86

基于深度学习识别12306验证码

Projectaiai ⭐ 86

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Ecg Mit Bih ⭐ 86

ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

Deep_learning_for_computer_vision_with_python ⭐ 86

Deep Learning For Computer Vision With Python

Steady State Flow With Neural Nets ⭐ 86

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

Mongolian Speech Recognition ⭐ 86

Mongolian speech recognition with PyTorch

Sentiment 2017 Imavis ⭐ 85

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Xilinx Deep Learning IP

Pytorch Dc Tts ⭐ 85

Text to Speech with PyTorch (English and Mongolian)

Open source Python library for building bioimage analysis pipelines

Mmwave Localization Learning ⭐ 85

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

Deepscreen ⭐ 85

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

Facial Expression Recognition ⭐ 84

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representat

Torchsketch ⭐ 83

Sphericalviewsynthesis ⭐ 83

Code accompanying the paper "Spherical View Synthesis for Self-Supervised 360 Depth Estimation", 3DV 2019

Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.

2016_super_resolution ⭐ 83

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

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 )

Deeplearning Image Segmentation ⭐ 82

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

Torch Encoding Layer ⭐ 82

Deep Texture Encoding Network

Jax Models ⭐ 82

Unofficial JAX implementations of deep learning research papers

Gait Recognition Using Smartphones ⭐ 82

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Cat_prey_analyzer ⭐ 81

Cat Prey Image-Classification with deeplearning

Combining Efficientnet And Vision Transformers For Video Deepfake Detection ⭐ 81

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

Deep Learning On Image Denoising An Overview ⭐ 81

Deep Learning on Image Denoising: An overview (Neural Networks, 2020)

Densepoint ⭐ 80

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Traffic Light Classification ⭐ 80

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

Brain Tumor Segmentation ⭐ 80

A deep learning based approach for brain tumor MRI segmentation.

Intra Bag And Inter Bag Attentions ⭐ 80

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Plant Disease Detection ⭐ 80

Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation

Densenet Nlp ⭐ 80

Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing

Vehicle Retrieval Kcnns ⭐ 80

vehicle image retrieval using k CNNs ensemble method

Image Classification Pytorch ⭐ 80

Learning and Building Convolutional Neural Networks using PyTorch

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

Contrique ⭐ 79

Official implementation for "Image Quality Assessment using Contrastive Learning"

Permute Quantize Finetune ⭐ 79

Using ideas from product quantization for state-of-the-art neural network compression.

Transferdet ⭐ 79

This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)

3dunet_abdomen_cascade ⭐ 79

Super Resolution of picture images using deep learning

Deep Learning Notes ⭐ 78

My CS231n lecture notes

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

Deep Learning Tensorflow Book Code ⭐ 78

[『텐서플로로 배우는 딥러닝』, 솔라리스, 영진닷컴, 2018] 도서의 소스코드입니다.

Train PyTorch Models using the Genetic Algorithm with PyGAD

Blind Motion Deblurring Survey ⭐ 78

This is a survey that reviews deep learning models and benchmark datasets related to blind motion deblurring and provides a comprehensive evaluation of these models.

Celestial Bodies Detection ⭐ 78

TensorFlow Image Classifier that can be used to classify whether an image is of a Planet (Earth, Mercury, Mars, etc), Galaxy (Spiral, Elliptical, Irregular), Satellites, Comets, Etc.

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Anime Super Resolution ⭐ 77

动漫图片超分辨率（SISR）——基于WDSR (2019-4-30)

Articles ⭐ 77

Grad Cam ⭐ 77

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Label Reg ⭐ 76

A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

Tinysleepnet ⭐ 76

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively

Chainer Pspnet ⭐ 76

PSPNet in Chainer

Keras Complex ⭐ 76

Keras-Tensorflow implementation of complex-valued convolutional neural networks

Shot Type Classifier ⭐ 76

Detecting cinema shot types using a ResNet-50

Deepseqslam ⭐ 76

The Official Deep Learning Framework for Robot Place Learning

Shavenet ⭐ 75

Predict when you last shaved with machine learning

Understaing Datasets Estimators Tfrecords ⭐ 75

Try to use tf.estimator and tf.data together to train a cnn model.

Spleeterrt ⭐ 75

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385

Make pytorch and tensorflow two become one.

Jacinto Ai Devkit ⭐ 74

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Tridepth ⭐ 74

TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]

An Open Source Deep Learning Inference Engine Based on FPGA

2018 Remotesens Fdssc ⭐ 74

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(FDSSC)

3d Reconstruction With Neural Networks ⭐ 73

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

PyTorch model training and layer saturation monitor

This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"

Sketchy Vision ⭐ 72

Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!

Coronary Artery Tracking Via 3d Cnn Classification ⭐ 71

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classiﬁer')

Gcn_keras ⭐ 71

图卷积神经网络 Graph Convolutional Network with Keras

Pytorch Learners Tutorial ⭐ 71

PyTorch tutorial for learners

Defect Detection Classifier ⭐ 70

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Ad_prediction ⭐ 70

Alzheimer's Disease Prediction by using ResNet, AlexNet

Diin In Keras ⭐ 70

Reproducing Densely Interactive Inference Network in Keras

Casia Hwdb1.1 Cnn ⭐ 70

Convolutional neural networks with Python 3 and Keras

Mxnet Hrt ⭐ 70

Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.

Breast Cancer Detection Mammogram Deep Learning ⭐ 70

Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.

Wav2letter ⭐ 70

Speech Recognition model based off of FAIR research paper built using Pytorch.

Hand Gesture Recognition Using Background Elllimination And Convolution Neural Network ⭐ 70

Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python

Yuzumarker ⭐ 70

🍋 [WIP] Manga Translation Tool

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