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

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

Data augmentation for NLP, presented at EMNLP 2019

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

NEURAL: a neonatal EEG feature set in Matlab

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

ugtm: a Python package for Generative Topographic Mapping

Neuroimaging in Julia

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

这是一个基于tensorflow和python的猫狗分类算法

Tools to suggest SQL columns for Pyrog

Loan Application Data Analysis

AntroPy: entropy and complexity of (EEG) time-series in Python

Coding up a Neural Network Classifier from Scratch

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Social Signal Processing for Android

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Kaggle Titanic example

This repo introduces how to integrate Tensorflow framework into ROS with object detection API.

MATLAB / Octave tools for BIDS datasets

Model verification, validation, and error analysis

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

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.

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

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Korean Easy Data Augmentation

Vectorized Machine Learning in Python 🐍 From Scratch

OpenMMLab Model Compression Toolbox and Benchmark.

Rank 1 / 216

A python implementation of Patchy-San Convolutional Network for Graph

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

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

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

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

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

YOLOv1 tensorflow

Natural World Tasks

Drug effect prediction using neural network

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

Catalyst.Classification

Code for NeurIPS 2019 Paper

Second Project of the Udacity Self-Driving Car Nanodegree Program

SigViewer is a viewing application for biosignals.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A flexible Python front-end inference SDK based on TensorRT

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

Selective Classification For Deep Neural Networks.

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

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

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

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