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andy (AndyandViky)

AndyandViky

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Location:Beijing

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andy's repositories

NLP-Programs

NLP programs powered by@pytorch

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Co-InWMM

Collapsed Variational Inference Dirichlet process Mixture Models of Watson Distributions powered by @numpy

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HDP-GMM

Variational Inference Hierarchical Dirichlet process Mixture Models of Gaussian Distribution

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vmfmix-python

von-Mises Fisher mixture model (EM) powered by @numpy

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GANMM-Pytorch

GANMM powered by @pytorch

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Journal

日常学习博客记录

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Kaggle-project

some of the projects for kaggle powered by @pytorch 🤣

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Acm-practice

acm-practice

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Code-detection

validate digit picture by CNN powered by @tensorflow

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DEC-pytorch

deep embedded cluster powered by @pytorch

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Face-Recognizer

face recognization system core codes powered by @c

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FRS-Admin

admin pages of face recognization system powered by @javascript

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FRS-Android

app codes of face recognization system powered by @java

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FRS-Server

api of face recognization system powered by @node

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

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awesome-knowledge-graph

整理知识图谱相关学习资料

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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Awesome-RSPapers

Recommender System Papers

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

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DeepClustering

Methods and Implements of Deep Clustering

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ebooks

收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本）

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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God-Of-BigData

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

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hello-algorithm

🌍 🌎 东半球最酷的学习项目 | 包括：1、我写的三十万字图解算法题典 2、100 张各语言思维导图 和 1000 本编程电子📚 3、100 篇大厂面经下载 | English version supported !!! 国人项目上榜不易，右上角助力一波 🚀🚀！干就对了，奥利给 ！💪💪💪

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ML-study

machine learning notes powered by @python

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MM-build

Mathematical modeling powered by@pytorch

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PaddleNLP

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

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recommenders

Best Practices on Recommendation Systems

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