886 Open source projects that are alternatives of or similar to Iciar2018

OpenMMLab Image Classification Toolbox and Benchmark

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Collection of computer vision models, ready to be included in a JVM project

Residual Attention Network for Image Classification

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

🤖 A portable, header-only, artificial neural network library written in C99

Classification schemes for choropleth mapping.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Measure and visualize machine learning model performance without the usual boilerplate.

Efficient Learning of Augmentation Policy Schedules

Javascript Natural Language Classifier

Image Test Time Augmentation with PyTorch!

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

food image to recipe with deep convolutional neural networks.

Tensorflow based training and classification scripts for text, images, etc

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Deploying Keras models using TensorFlow Serving and Flask

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

A pytorch reimplementation of CheXNet

IPython widgets, interactive plots, interactive machine learning

Implementation of Bottleneck Transformer in Pytorch

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

A collection of all projects pertaining to different layers in the SDC software stack

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Github repo with tutorials to fine tune transformers for diff NLP tasks

Official public repository of Gate

ShuffleNet Implementation in TensorFlow

An AI based application to identify currency and gives audio feedback.

Source code of Indian Paper Currency Prediction 🔥

Create and manage PE node groups as resources.

U-Net: Convolutional Networks for Biomedical Image Segmentation

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Dataset of images of trash; Torch-based CNN for garbage image classification

Classification with PyTorch.

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

Log any method call of object in Objective-C

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Natural language detection

OneNote (desktop) add-in to manage OneNote pages by page tags

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Dog and cat image classifier with deep learning

BERT-NER (nert-bert) with google bert https://github.com/google-research.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

🍊 🎑 Orange3 add-on for dealing with image related tasks

AutoML frAmework for Neural Networks

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

A simple example on Image Classification in Node.js with TensorFlow.js