Pinned Repositories
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记录一些学习过程中的知识和心得
100-Days-Of-ML-Code
100 Days of ML Coding
advanced-java
😮 互联网 Java 工程师进阶知识完全扫盲
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
aiops-handbook
Collection of slides, repositories, papers about AIOps
alpine-r
This open-source project provides the R server infrastructure for Alpine Data Labs' backend.
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
logistic-regression-ftrl-ps
logistic regression model by ftrl based on ps-lite(parameter server)
MyPerf4J
A high performance and non-intrusive real-time Java method performance monitoring and statistical tool.
spark-daal
Using Intel DAAL on Spark
ljzzju's Repositories
ljzzju/spark-daal
Using Intel DAAL on Spark
ljzzju/awesome-rl
Reinforcement learning resources curated
ljzzju/bayes-scala
Bayesian Networks in Scala
ljzzju/blog
The BLOG programming language
ljzzju/Canova
General Vectorization Lib for Machine Learning Tools
ljzzju/data
datasets
ljzzju/datalab
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
ljzzju/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
ljzzju/deepspark
A neural network library which trained by Spark RDD instances.
ljzzju/DistML
DistML provide a supplement to mllib to support model-parallel on Spark
ljzzju/featurestore
Building blocks and patterns for building data prep transformations and feature engineering in Spark.
ljzzju/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ljzzju/incubator-carbondata
Mirror of Apache CarbonData (Incubating)
ljzzju/knowledge-based-reasoning-framework
Knowledge-based Reasoning and Recommendation Framework (KRF)
ljzzju/mlf
大数据机器学习框架
ljzzju/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ljzzju/nd4j
Scientific Computing for the JVM (NDArrays)
ljzzju/nd4s
ljzzju/photon-ml
A scalable machine learning library on Apache Spark
ljzzju/Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
ljzzju/spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
ljzzju/spark-tfocs
A Spark port of TFOCS: Templates for First-Order Conic Solvers (cvxr.com/tfocs)
ljzzju/spark-timeseries
A library for time series analysis on Apache Spark
ljzzju/spark_dbscan
DBSCAN clustering algorithm on top of Apache Spark
ljzzju/sparkboost
A distributed implementation of AdaBoost.MH and MP-Boost using Apache Spark
ljzzju/SparseML
Spark MLlib code optimized to efficiently support sparse data
ljzzju/strads
Petuum's STRADS scheduler
ljzzju/tensorframes
Tensorflow wrapper for DataFrames on Apache Spark
ljzzju/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
ljzzju/zen
Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.