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gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello_world

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kernelmodeseasonaldecomposition

Using moving-mode to smooth a time series and do decomposition

kubewatch

Watch k8s events and trigger Handlers

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

luminol

Anomaly Detection and Correlation library

machine-learning-python

The codes that implement machine learning algorithms in python, provide the insights into data analysis and classification application

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

machinelearning

Basic Machine Learning and Deep Learning

mderank

This is code for paper: MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

mimo-ofdm-alamouti

Bachelor Thesis: Implementation of a Software-Defined Radio testbed for OFDM-MIMO communication systems:

mini-spring

mini-spring是简化版的spring框架，能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑，代码极度简化，保留spring的核心功能，如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。

models

Models and examples built with TensorFlow

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

newsrecommendsystem

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

nlp-papers

Natural Language Processing Papers

nlp-utils

NLP Utilities in Java

openattack

An Open-Source Package for Textual Adversarial Attack.

pke

Python Keyphrase Extraction module

pu-learning

Positive and unlabeled learning wrappers for scikit-learn

pykale

Knowledge-Aware machine LEarning (KALE) from multiple sources in Python

pytorch-tutorial

Build your neural network easy and fast

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

rcapapers

Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/

recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

securitai-ui

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data