Felix Liu (peeking)

peeking

Geek Repo

Company:Alibaba inc.

Location:Beijing

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Felix Liu's repositories

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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benchmarks

Comparison tools

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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DeepLearning-MuLi-Notes

Notes about courses Dive into Deep Learning by Mu Li

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dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

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Image-Captioning

Image Captioning with Keras

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interpretable-ml-book

Book about interpretable machine learning

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keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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libffm

A Library for Field-aware Factorization Machines

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numpy-ml

Machine learning, in numpy

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pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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Python-100-Days

Python - 100天从新手到大师

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pytorch-fm

Factorization Machine models in PyTorch

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rulefit

Python implementation of the rulefit algorithm

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shap

A game theoretic approach to explain the output of any machine learning model.

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transferlearning-tutorial

《迁移学习简明手册》LaTex源码

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xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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youtube-8m

Starter code for working with the YouTube-8M dataset.

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Youtube-8M-WILLOW

Kaggle Youtube 8M WILLOW approach

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