1414 Open source projects that are alternatives of or similar to Deepecg

A tool to collect public images from Facebook and create an image dataset for training computer vision applications like gender recognition, and face detection

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Crop/Weed Field Image Dataset

A fast whole-genome aligner based on de Bruijn graphs

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

PSPNet in Chainer

An interactive web tool for quality control of DNA sequencing data

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

compacted de Bruijn graph construction in low memory

✏️ A versatile DNA sequence optimizer

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

Datasets for Knowledge Graph Completion with textual information about the entities

Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020

Deep Learning in Haskell

Resources for deep learning with satellite & aerial imagery

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

Paper, dataset and code collection on human body reconstruction

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Object classification with CIFAR-10 using transfer learning

Le site officiel de l'Adresse

Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Implementation of Simple Recurrent Unit in Keras

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Robust freeform surface modeling from user 2d sketches.

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

Semantic segmentation on iPhone using ESPNetv2

دیتاست کلمات نامناسب و بد فارسی برای فیلتر کردن متن ها

Diabetic retinopathy screening w/ Tensorflow.

NGLess: NGS with less work

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

A curated list of repositories for my book Machine Learning Solutions.

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Colour Science for Python

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

a knowledge graph project for ONEPIECE /《海贼王》知识图谱

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Image Tampering Detection using ELA and CNN

Parser and database to index the terpene profile of different strains of Cannabis from online databases

Estimate/count FLOPS for a given neural network using pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

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.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Application of machine learning to the Coinbase (GDAX) orderbook

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

SortMeRNA: next-generation sequence filtering and alignment tool

Deep Learning project template for PyTorch (Distributed Learning is supported)

An Echo State Network module for PyTorch.

Provides access to complex Bioinformatics software (even BioLinux!) in just one command.

Large list of handpicked color names 🌈

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Bayes by Backprop implemented in a CNN in PyTorch

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)