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hadoop-cluster-docker

Run Hadoop Custer within Docker Containers

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南

hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

harmonica

Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.

hello_world

博客文章开源代码分享区

hiplot

HiPlot makes understanding high dimensional data easy

homework_for_sxq

hord

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

hpbandster

a distributed Hyperband implementation on Steroids

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

hyperopt-simple-cfg

igo

A simple interactive Go interpreter built on go-eval with some readline-like refinements

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

ipv6-hosts

Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation

javajvm

A toy JVM written in Java

jbt_blog

一个基于Django2.0+Python3.6的博客/A simple blog based on python3.6 and Django2.0.

joblib

Computing with Python functions.

joblib-spark

Joblib Apache Spark Backend

jstarcraft-ai

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

jupyter-matplotlib

Matplotlib Jupyter Extension

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

katib

Repository for hyperparameter tuning

keras-tuner

Hyperparameter tuning for humans

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

knime-core

KNIME Analytics Platform

knnimpute

Python implementations of kNN imputation

lda2vec-pytorch

Topic modeling with word vectors