AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Updated
Jun 1, 2020 - Python
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
The basic idea is to have a metrics package, we can start with ROC/AUC (first on GPU, then if necessary on CPU). It should mimic the SKLearn API and results:
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
Requirements:
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
Add sections on fast/slow code paths and which matrix classes work with which path, on memory use, and other internals.
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Randomized Dimension Reduction Library
Python code implementing the power method for Singular Value Decomposition
A recommendation system using tensorflow
Python 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
A repository for recording the machine learning code
Randomized Matrix Decompositions using R
R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems
a repository for my curriculum project
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
NTUEE Machine Learning, 2017 Spring
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
Imputation method for scRNA-seq based on low-rank approximation
使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层
Converter of register descriptions from the TI DSLite format to CMSIS SVD format
Natural Language Processing for Lithuanian language
Streaming, Memory-Limited, r-truncated SVD Revisited!
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For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur