Stars
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Kaggle | Instacart Market Basket Analysis🥕🥉
PyTorch Tutorial for Deep Learning Researchers
Implementations of classic Machine Learning algorithms
Machine learning algorithms implemented by pure numpy
Parris, the automated infrastructure setup tool for machine learning algorithms.
Minimal and clean examples of machine learning algorithms implementations
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
🌎 machine learning tutorials (mainly in Python3)
setting up sublime text for python development
Python Implementation of Weighted Generalized Canonical Correlation Analysis
a python code for deep canonical correlation analysis (dcca) written using numpy
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
Regularized kernel canonical correlation analysis in Python
This repository includes projects on Supervised Learning, Regression Models, Predictive Analytics,Neural Networks, Data Mining, Visualizations (Airline Delay Prediction)
An OR model to optimize airline schedule recovery in disruption situations
To display 3d airline with webgl(内附效果图)
Railway Line Fault Monitoring System is an IOT and Embedded System Based Project
Tools for metrics analysis and fault detection
Reaction module to errors on Layer 1 and Layer 2 of the OSI Networking Model and generating smart notifications for the same.
Early fault detection during production