8098 Open source projects that are alternatives of or similar to Motion Sense

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Anomaly detection tutorial on univariate time series with an auto-encoder

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Deep learning meets molecular dynamics.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Evaluation of the CNN design choices performance on ImageNet-2012.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Deep Markov Models

A use-case focused tutorial for time series forecasting with python

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

Detecting cinema shot types using a ResNet-50

A python library for time-series smoothing and outlier detection in a vectorized way.

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

Object classification with CIFAR-10 using transfer learning

Text to Speech with PyTorch (English and Mongolian)

1st place solution

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

a collection of my notes on deep learning

ECG classification programs based on ML/DL methods

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)

FMA: A Dataset For Music Analysis

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Spectral Normalization for Keras Dense and Convolution Layers

Code examples for training AlexNet using Keras and Theano

A new test set for ImageNet

BertQA - Attention on Steroids

Datasets I have created for scientific summarization, and a trained BertSum model

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

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

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

Stock Analysis Tutorial in Python

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Reproduce CheXNet

Hiding Images within other images using Deep Learning

Numbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.

PTT 八卦版問答中文語料

Voice Activity Detection based on Deep Learning & TensorFlow

🎁 3,000,000+ Unsplash images made available for research and machine learning

CNN image classifier implemented in Keras Notebook 🖼️.

All For NLP, especially Chinese.

A repository to keep track of all the code that I end up writing for my blog posts.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Tutorial Sessions for SciPy Con 2019

Variational Autoencoder for Dimensionality Reduction of Time-Series

Time Series Forecasting Best Practices & Examples

ASAP: Prioritizing Attention via Time Series Smoothing