1667 Open source projects that are alternatives of or similar to Data Science Bowl 2018

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

CNN image style transfer 🎨.

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

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

Neural networks toolbox focused on medical image analysis

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Kaggle airbus ship detection challenge 21st solution

Deep Vessel Segmentation by Learning Graphical Connectivity

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Open solution to the Airbus Ship Detection Challenge

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Open solution to the Cdiscount’s Image Classification Challenge

RMDL: Random Multimodel Deep Learning for Classification

U-Net Brain Tumor Segmentation

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Evaluation framework for testing segmentation networks in Keras

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

Cell Detection with PyTorch.

Satellite Imagery Feature Detection (68 out of 419)

MONAI Label is an intelligent open source image labeling and learning tool.

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

Medical image segmentation ( Eye vessel segmentation)

No description or website provided.

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

PyTorch Implementation for Segmentation and Saliency Prediction

3D image classification using CNN (Convolutional Neural Network)

A modern PyTorch implementation of SRGAN

Segmentation models with pretrained backbones. PyTorch.

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

Code examples for new APIs of iOS 10.

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

Multi-platform, free open source software for visualization and image computing.

Solution to Kaggle - Web Traffic Time Series Forecasting

Convolutional Neural Network for Human Activity Recognition in Tensorflow

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

A light-weight, power efficient, and general purpose convolutional neural network

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Building Convolutional Neural Networks From Scratch using NumPy

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Music recommender using deep learning with Keras and TensorFlow

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Digit recognition with Convolutional Neural Networks in WebGL

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Kaggle datascience bowl 2017

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

This toolbox is support material for the book on CNN (http://www.convolution.network).

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

TensorFlow and Deep Learning Tutorials

SincNet is a neural architecture for efficiently processing raw audio samples.

Multi-platform, free open source software for visualization and image computing.

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Framework for medical image segmentation using deep neural networks