Awesome machine learning deep learning libraries photo

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followers: 111.0 following: 93.0 repos: 326.0 gists: 0.0

Name: Awesome machine learning deep learning libraries

Type: User

Company: University of UM

Bio: About machine learning ，nlp，deep learning.

Location: China

Awesome machine learning deep learning libraries's Projects

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

caffe

Caffe: a fast open framework for deep learning.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

categorical-encoding

A library of sklearn compatible categorical variable encoders

cayley

An open-source graph database

ccir

This is match for The 23rd China Conference on Information Retrieval, The title for this match is "chapter sorting based on intelligent questions and answers"

chainer

A flexible framework of neural networks for deep learning

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

charted

Visualization toolkit for Dart language

chatbotcourse

自己动手做聊天机器人教程

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots.

chatterbot-corpus

A multilingual dialog corpus

chinese-annotator

Annotator for Chinese Text Corpus (under development, welcome for ideas) 中文文本标注工具

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_models_for_spacy

SpaCy 中文模型 | Models for SpaCy that support Chinese

classifier-in-action

神经网络文本分类，文本情感极性分析等分类器应用实战，支持情感词典分析，支持NB、SVM、深度神经网络分类等多种分类算法。python开发。

cnn-question-classification-keras

Chinese Question Classifier (Keras Implementation) on BQuLD

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

competition_tianchi

阿里移动推荐算法比赛

conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics