596 Open source projects that are alternatives of or similar to candock

MATLAB / Octave tools for BIDS datasets

Multiclass image classification using Convolutional Neural Network

Model verification, validation, and error analysis

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Social Media Mining Toolkit (SMMT) main repository

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Relation Classification - SEMEVAL 2010 task 8 dataset

Korean Easy Data Augmentation

Text classification meets word embeddings.

Vectorized Machine Learning in Python 🐍 From Scratch

A practical example on how to combine both a CNN and a RNN to classify images.

OpenMMLab Model Compression Toolbox and Benchmark.

dzetsaka : classification plugin for Qgis

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基于Tensorflow2开发的优秀扩展包及项目

A python implementation of Patchy-San Convolutional Network for Graph

REPO MOVED TO https://github.com/repetere/jsonstack-data - Data Science and Machine learning in JavaScript

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Implemenation of UNets for Lung Segmentation

A curated list of papers, code and resources pertaining to few-shot image generation.

AAAI'21: Data Augmentation for Graph Neural Networks

Implement popular models by different DL framework. Such as tensorflow and caffe

Tensorflow implementation of the Manifold Mixup machine learning research paper

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Awesome Graph Self-Supervised Learning

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

YOLOv1 tensorflow

Light-weight Single Person Pose Estimator

Natural World Tasks

MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

Drug effect prediction using neural network

sciblox - Easier Data Science and Machine Learning

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

Catalyst.Classification

Flow-based data pre-processing for deep learning

Code for NeurIPS 2019 Paper

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

Second Project of the Udacity Self-Driving Car Nanodegree Program

An extended TSP (Time Stretched Pulse). CAPRICEP substantially replaces FVN. CAPRICEP enables interactive and real-time measurement of the linear time-invariant, the non-linear time-invariant, and random and time varying responses simultaneously.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

SigViewer is a viewing application for biosignals.

Tensor2tensor experiment with SpecAugment

High-resolution breast cancer screening with multi-view deep convolutional neural networks

A generalizable application framework for segmentation, regression, and classification using PyTorch

Selective Classification For Deep Neural Networks.

A package for manipulating EEG data in R.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Classifying time series using feature extraction

Repository for anime characters recognition website, powered by TensorFlow

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Deep Learning using Rectified Linear Units (ReLU)