leviack

leviack's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python61.6k1.9k12.1k19.4k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34k2.1k4.8k18.7k

• google-deepmind/lab

  A customisable 3D platform for agent-based AI research

  Language:C7.1k4662261.4k

• graphite-project/graphite-web

  A highly scalable real-time graphing system

  Language:JavaScript5.9k2701.2k1.3k

• jaungiers/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

  Language:Python4.8k252881.9k

• chickenbestlover/RNN-Time-series-Anomaly-Detection

  RNN based Time-series Anomaly detector model implemented in Pytorch.

  Language:Python1.2k3752318

• adventuresinML/adventures-in-ml-code

  This repository holds all the code for the site http://www.adventuresinmachinelearning.com

  Language:Jupyter Notebook1k7422640

• Azure/DeepLearningForTimeSeriesForecasting

  A tutorial demonstrating how to implement deep learning models for time series forecasting

  Language:Jupyter Notebook655514282

• Jenniferz28/Time-Series-ARIMA-XGBOOST-RNN

  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

  Language:Python637163216

• PENGZhaoqing/TimeSeriesPrediction

  天池智慧交通预测挑战赛解决方案

  Language:Python4911311140

• polyaxon/haupt

  Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

  Language:Python453370209

• PacktPublishing/Practical-Time-Series-Analysis

  Practical Time-Series Analysis, published by Packt

  Language:Jupyter Notebook404218250

• imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict

  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

  Language:Jupyter Notebook389172126

• powerpak/jupyter-dark-theme

  Dark theme for Jupyter Notebook UI

  Language:CSS323138105

• ahmedbesbes/Neural-Network-from-scratch

  Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

  Language:Jupyter Notebook26215159

• emilwallner/Deep-Learning-From-Scratch

  Six snippets of code that made deep learning what it is today.

  Language:Jupyter Notebook26014157

• etai83/lstm_stock_prediction

  This is an LSTM stock prediction using Tensorflow with Keras on top.

  Language:Jupyter Notebook2312014157

• snrazavi/Machine_Learning_2018

  Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

  Language:Jupyter Notebook207303104

• llSourcell/LSTM_Networks

  This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

  Language:Jupyter Notebook196182123

• bradtraversy/larticles_api

  Laravel 5.5 API using resources

  Language:PHP194134131

• llSourcell/Time_Series_Prediction

  This is the code for "Time Series Prediction" By Siraj Raval on Youtube

  Language:Jupyter Notebook194112119

• abaranovskis-redsamurai/automation-repo

  Machine learning and process automation

  Language:Jupyter Notebook13872115

• wrobstory/mcflyin

  A small timeseries transformation API built on Flask and Pandas

  Language:Python8710016

• jiegzhan/time-series-forecasting-rnn-tensorflow

  Time series forecasting

  Language:Python797632

• YitongCU/Duel-staged-Attention-for-NYC-Weather-prediction

  Dual Staged Attention Model for Time Series prediction

  Language:Jupyter Notebook664825

• MatrixAINetwork/timeseries_mining

  some realization for time series mining

  Language:Jupyter Notebook5440047

• Kanav123/ArimaAnnHybrid

  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting

  Language:Jupyter Notebook523423

• charlieblue17/timeseries2018

  Course page for DS-GA 3001.001 Modeling Time Series Data

  Language:Jupyter Notebook4336

• vb100/Tensorflow-ANN-TimeSeries-Forecasting-Weather

  This notebook demonstrates how to implement Tensorflow & queries to forecasting for a very big dataset. ANN with 2 hidden layers has been used for ANN. The data shifting technique has been used to generate Train and Test (validation) sets.

  Language:Jupyter Notebook10213

• jay15summer/anfis-with-correlated-residuals

  Adaptive network-based fuzzy inference system with correlated residuals (e.g., spatial/temporal correlation)

  Language:Python7221