luchunling Goto Github PK

ams-2013-2014-solar-energy

ams-2013-2014-solar-energy-prediction-contest

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

benchmarks

Various benchmark tests

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

cpso

Particle Swarm Optimization (PSO) in C++ with MPI support

data-science-projects

Data Science Projects

df-scada-data-restoration

DataFountain海上风场SCADA数据缺失智能修复-top3代码开源

dl_tutorials

Deep learning tutorials (2nd ed.)

dlib

A toolkit for making real world machine learning and data analysis applications in C++

edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

electric-load-forecasting

基于LSTM的电力负荷预测

electric-power-hourly-load-forecasting-using-recurrent-neural-networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

electricity-load-forecasting

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

flann

Fast Library for Approximate Nearest Neighbors

gefcom-2012-wind-track

GEFCom 2012 Wind Forecast - 1st place

gefcom2012

Write up and source code of entry to GEFCOM 2012

gp-structure-search

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

implement-wavelet-in-stl

小波变化的C++实现(接口与MATLAB中的接口相同)

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

kaggle-energy

Global Energy Forecasting Competition 2012 - Load Forecasting

kaggle-web-traffic

1st place solution

libsvm_cuda

GPU accelerated libSVM grid search

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)

mach7

Functional programming style pattern-matching library for C++