afcarl Goto Github PK

lr-dtw

Locally Regularized Dynamic Time Warping

lrcn-for-activity-recognition

lrec2018-live-blog-corpus

lrm-esri

use Esri's hosted routing service in Leaflet to generate walk, car and truck routes/directions

lrm-mapzen

Support for Mapzen Turn-by-Turn routing in Leaflet Routing Machine

lru2cache

A least recently used (LRU) 2 layer caching mechanism

ls

An ls image for the Docker Fundamentals training

lsa_classification

Text classification example in Python using Latent Semantic Analysis (LSA)

lsb-steganography

Python program to steganography files into images using the Least Significant Bit.

lsbasi

Let's Build A Simple Interpreter

lsbaws

Let's Build A Web Server

lsd_slam

LSD-SLAM

lshash

A fast Python implementation of locality sensitive hashing.

lsm

Code for Learnt Stereo Machines based on the NIPS 2017 paper

lsm9ds1_breakout

Breakout board for ST's LSM9DS1 accelerometer/magnetometer/gyroscope system-in-package.

lsqnonneg

Python Implementation of NNLS

lsstc-dsfp-sessions

Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program

lstm

lstm---stock-prediction

A long term short term memory recurrent neural network to predict forex data time series

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

lstm-char-cnn

LSTM language model with CNN over characters

lstm-char-cnn-tensorflow

in progress

lstm-crypto-predictor

Predicting cryptocurrency price using RNN-LSTM networks

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier

lstm-kalman-hybrid-timeseries

Hybrid Time Series using LSTM and Kalman Filtering

lstm-mnist

RNN classifier built with Keras to classify MNIST dataset

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

lstm-text-generation

Generating NEW Reuters articles from Reuters articles.