massquantity/Distributions_for_Random_Search massquantity/Distributions_for_Random_Search

  • Stars
    star
    1
  • Language
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
massquantity/Distributions_for_Random_Search
github

massquantity

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

LibRecommender

Versatile End-to-End Recommender System
Python
351
star
2

Kaggle-HousePrices

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4
Jupyter Notebook
154
star
3

DBRL

Dataset Batch(offline) Reinforcement Learning for recommender system
Python
143
star
4

Flink-Reinforcement-Learning

Recommender system based on Flink and Reinforcement Learning
Java
96
star
5

dismember

Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
Scala
64
star
6

Class-Imbalance

《机器学习之类别不平衡问题》文章代码
Jupyter Notebook
45
star
7

Ftrl-FFM

Field-aware factorization machine (FFM) with FTRL
C++
41
star
8

text-generation-using-keras

文本生成
Python
41
star
9

neural-style-transfer

艺术风格转换
Python
19
star
10

Kaggle-Titanic

kaggle kernel for Titanic dataset
Jupyter Notebook
14
star
11

ML-algorithms-implemetation

Jupyter Notebook
9
star
12

LeetCode

LeetCode Solution, Java & Python & C & C++
Java
3
star
13

Loss-Functions

Jupyter Notebook
3
star
14

Papers

3
star
15

Princeton-Algorithms

普林斯顿《算法(Algorithms)》笔记
Java
3
star
16

Kaggle-mercari-price-suggestion

Solution for Kaggle competition - Mercari Price Suggestion Challenge
Python
1
star
17

Anime-Serving

Spark model serving using PMML and MLeap
Scala
1
star
18

Libsvm-Csv

Java
1
star
19

-Introduction-to-Machine-Learning-with-Python---NOTE

Note from the book "Introduction to Machine Learning with Python"
Jupyter Notebook
1
star