Pinned Repositories
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
benchmark
benchmarks
Comparison tools
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。
data-augmentation-for-text
Code for data augmentation for text/NLP
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
peeking's Repositories
peeking/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
peeking/awesome-causality-algorithms
An index of algorithms for learning causality with data
peeking/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
peeking/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
peeking/benchmark
peeking/benchmarks
Comparison tools
peeking/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。
peeking/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
peeking/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
peeking/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
peeking/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
peeking/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
peeking/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
peeking/Image-Captioning
Image Captioning with Keras
peeking/interpretable-ml-book
Book about interpretable machine learning
peeking/keras-mmoe
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
peeking/leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
peeking/libffm
A Library for Field-aware Factorization Machines
peeking/node2vec
peeking/numpy-ml
Machine learning, in numpy
peeking/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
peeking/Python-100-Days
Python - 100天从新手到大师
peeking/pytorch-fm
Factorization Machine models in PyTorch
peeking/RecommenderSystems
peeking/rulefit
Python implementation of the rulefit algorithm
peeking/shap
A game theoretic approach to explain the output of any machine learning model.
peeking/transferlearning-tutorial
《迁移学习简明手册》LaTex源码
peeking/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.
peeking/youtube-8m
Starter code for working with the YouTube-8M dataset.
peeking/Youtube-8M-WILLOW
Kaggle Youtube 8M WILLOW approach