yanxia-fxpal

yanxia-fxpal's Stars

• seatgeek/fuzzywuzzy

  Fuzzy String Matching in Python

  Language:Python9.2k258187875

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k1571942k

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.2k9474876

• MIT-LCP/mimic-code

  MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

  Language:Jupyter Notebook2.6k1351.2k1.5k

• wyharveychen/CloserLookFewShot

  source code to ICLR'19, 'A Closer Look at Few-shot Classification'

  Language:Python1.1k1974268

• jeffreyyihuang/two-stream-action-recognition

  Using two stream architecture to implement a classic action recognition method on UCF101 dataset

  Language:Python8572281249

• target/matrixprofile-ts

  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

  Language:Python7342655105

• davidtellez/contrastive-predictive-coding

  Keras implementation of Representation Learning with Contrastive Predictive Coding

  Language:Python5251618120

• Kaixhin/Autoencoders

  Torch implementations of various types of autoencoders

  Language:Lua468201077

• davidhallac/TICC

  Language:Python4573567161

• houssamzenati/Efficient-GAN-Anomaly-Detection

  Language:Python4342021137

• White-Link/UnsupervisedScalableRepresentationLearningTimeSeries

  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

  Language:Jupyter Notebook394182794

• neuropsychology/NeuroKit.py

  A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

  Language:Python3663468102

• XiaoCode-er/Skeleton-Based-Action-Recognition-Papers

  The paper list about skeleton-based action recognition.

  28316151

• hugochan/Eye-Tracker

  Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

  Language:Python231132452

• rhenanbartels/hrv

  A Python package for heart rate variability analysis

  Language:Jupyter Notebook196142557

• tkwoo/anogan-keras

  Unsupervised anomaly detection with generative model, keras implementation

  Language:Python178131061

• chinancheng/awesome-activity-prediction

  Paper list of activity prediction and related area

  16713134

• xtarx/Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks

  Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

  Language:Python10313335

• MITMediaLabAffectiveComputing/eda-explorer

  Scripts to detect artifacts in EDA data

  Language:Python7915942

• johndoherty/vatic

  vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.

  Language:HTML6711020

• chahuja/language2pose

  Language2Pose: Natural Language Grounded Pose Forecasting

  Language:Python6552414

• kekeblom/tcn

  An pytorch implementation of time-contrastive networks as presented in the paper "Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation".

  Language:Python553115

• nw2190/TensorFlow_Examples

  Collection of TensorFlow Examples

  Language:Python371110

• josifgrabocka/neuralwarp

  A supporting website for the paper "NeuralWarp: Time-Series Similarity with Warping Networks"

  Language:Python364311

• nijianmo/fit-rec

  Code for WWW 19' paper

  Language:Python353418

• alinionutpopa/dmhs

  Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (CVPR 2017)

  Language:MATLAB28147

• ntienvu/ICDM2017_FBO

  Filtering Bayesian Optimization (FBO) in Weakly Specified Search Space

  Language:HTML4201

• ingenieroariel/dense-trajectories

  Modifications to wang's trajectories

  Language:C++3302

• firelab/Dense-Trajectories

  This code analyses video files to add trajectory lines that follow moving objects.

  Language:C++1702