964 Open source projects that are alternatives of or similar to Robust-Deep-Learning-Pipeline

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.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

Personalized machine learning on the smartphone

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Explore Action Recognition

C3D for Keras + TensorFlow

Activity Recognition from 2D pose using an LSTM RNN

A Keras library for multi-step time-series forecasting.

A stock trading bot that uses machine learning to make price predictions.

List of papers, code and experiments using deep learning for time series forecasting

Library of autoencoders for sequential data

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

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

Paper list of activity prediction and related area

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

A curated list of action recognition and related area resources

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

GANs for time series generation in pytorch

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

LSTM based human activity recognition using smart phone sensor dataset

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Annotation of ECG signals using deep learning, tensorflow’ Keras

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

An implementation of the LRCN in Torch

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A one stop shop for all of your activity recognition needs.

HAKE-Action in PyTorch

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

Activity Recognition Algorithms for the Charades Dataset

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Anomaly detection for temporal data using LSTMs

Using LSTM network for time series forecasting

experiments on classifying actions using poses

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Display PCR, DTS, PTS, bitrate, jitter of a mpeg TS.

The official PyTorch implementation of "Context Matters: Self-Attention for sign Language Recognition"

Multimodal Image Synthesis and Editing: A Survey

KFAS: R Package for Exponential Family State Space Models

Spectrum is an AI that uses machine learning to generate Rap song lyrics

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

Real time sync from MongoDB into InfluxDB

Solve many kinds of least-squares and matrix-recovery problems

ADENINE: A Data ExploratioN PipelINE

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

SVG time-series charting library