3011 Open source projects that are alternatives of or similar to Rmdl

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

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

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

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Deep Learning Bootcamp

Lightweight C++11 library for building deep recurrent neural networks

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Try out deep learning models online on Google Colab

MobilNet-SSD object detection in opencv 3.4.1

Loan Application Data Analysis

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Deep Learning Toolkit for Medical Image Analysis

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

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

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Rank 1 / 216

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Catalyst.Classification

Open Toolkit for Painless Object Detection

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

2018“云移杯- 景区口碑评价分值预测

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

Deep Learning using Rectified Linear Units (ReLU)

SHAInet - a pure Crystal machine learning library

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Hiding Images within other images using Deep Learning

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Medical image registration using deep learning

A curated list of NLP resources for Hungarian

Summary of my projects on kaggle

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Analytic platform for real-time large-scale streams containing structured and unstructured data.

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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

YOLO for object detection tasks