28 Open source projects that are alternatives of or similar to Hierarchical-Typing

Framework for the reproducible processing of neuroimaging data with deep learning methods

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

CNN architecture for predicting DNA binding sites for Transcription Factors

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

Keras implementation of Character-level CNN for Text Classification

Pedestrian Detection using Non Maximum Suppression

C++ Implementation of Image Super-Resolution using Convolutional Neural Network

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

Implementation of cartoon GAN [Chen et al., CVPR18] with pytorch

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

TensorFlow (Python API) implementation of Neural Style

Yet Another Pixel Classifier (based on deep learning)

A convolutional neural network trained to recognize good* electronic music

Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

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

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Easily train an image classifier and then use it to label/tag other images

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Multiclass image classification using Convolutional Neural Network