darthy's repositories
NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题
Recommend-System-tf2.0
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
GCN_study
GCN 入门学习教程
RS_paper_study
推荐系统学习笔记
MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
awesome-causality-algorithms
An index of algorithms for learning causality with data
GGMprojpred
Bayesian graphical models estimated with projection predictive selection
variableImportance
practice on variable importance measure (VIM) in the context of explainable ML or causal inference
introduction2CausalInference
my practice for causal inference in R
Rcourse_on_github
my practice on GitHub and linear models in R
test
test for R
Recurrent-Point-Process
Modeling the asynchronous event sequence via Recurrent Point Process
deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
burlap
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
smile
Statistical Machine Intelligence & Learning Engine
meka
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
StructED
Risk Minimization Algorithms in Structured Prediction
toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
guava
Google Core Libraries for Java 6+
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
librec
LibRec: A Java Library for Recommender Systems, see
reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
mahout
Mirror of Apache Mahout