wanghuiyong815

wanghuiyong815

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rstudio

RStudio is an integrated development environment (IDE) for R

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awesome

😎 Awesome lists about all kinds of interesting topics

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Mime

Machine learning-based integration model with elegant performance

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llm-universe

本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/

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fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

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AKI-Prediction

Deep Learning Models for AKI Prediction on MIMIC-III and eICU database

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Learn-Statistical-Learning-Method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。

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generator-jhipster

JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.

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cplusplus-_Implementation_Of_Introduction_to_Algorithms

《算法导论》第三版中算法的C++实现

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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PRML

PRML algorithms implemented in Python

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DeepLearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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cs_study_plan

一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向

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mathematics-roadmap

A Comprehensive Roadmap to Mathematics

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DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

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Machine-Learning-Book

《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!

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Solutions-to-Machine-Learning-A-Probabilistic-Perspective-

Solutions to "Machine Learning: A Probabilistic Perspective"

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An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

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mli-resources

H2O.ai Machine Learning Interpretability Resources

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

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knowledge-graphs

A collection of research on knowledge graphs

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AutoML-Tutorial

Tutorials about AutoML

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TensorFlow-TransX

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

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awesome-taxonomy

A curated resource for taxonomy research

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

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KnowledgeGraphFusion

CCF ADL 2019 slides for knowledge graph fusion

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KG-demo-for-movie

从无到有构建一个电影知识图谱,并基于该KG,开发一个简易的KBQA程序。

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