Pinned Repositories
aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AIOS
AIOS: LLM Agent Operating System
airflow-scheduler-failover-controller
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
awesome-network-analysis
A curated list of awesome network analysis resources.
awesome-spark
A curated list of awesome Apache Spark packages and resources.
book
bpr-spark
Bayesian Personalized Ranking for Spark
Building-Machine-Learning-Projects-with-TensorFlow
Building Machine Learning Projects with TensorFlow by Packt
Quark
a universal nlp service
JingwuChen's Repositories
JingwuChen/Quark
a universal nlp service
JingwuChen/aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
JingwuChen/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
JingwuChen/AIOS
AIOS: LLM Agent Operating System
JingwuChen/airflow-scheduler-failover-controller
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
JingwuChen/awesome-network-analysis
A curated list of awesome network analysis resources.
JingwuChen/awesome-spark
A curated list of awesome Apache Spark packages and resources.
JingwuChen/book
JingwuChen/Comfyui
JingwuChen/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
JingwuChen/cython
JingwuChen/Data-Science-books
JingwuChen/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
JingwuChen/elasticsearch-spark-recommender
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
JingwuChen/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
JingwuChen/HFT-CNN
Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization
JingwuChen/ijcai-2018
ijcai-2018 top1 solution
JingwuChen/kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
JingwuChen/learning-apache-spark
Notes on Apache Spark (pyspark)
JingwuChen/Optimus
:truck: Agile Data Science Workflows made easy with Python and Spark.
JingwuChen/pyspark-asyncactions
Asynchronous actions for PySpark
JingwuChen/python_data_structures_and_algorithms
Python 中文数据结构和算法教程
JingwuChen/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
JingwuChen/spark-sandbox
A playground for Spark jobs.
JingwuChen/spark-sklearn
Scikit-learn integration package for Apache Spark
JingwuChen/spark2.0-examples
Examples of Spark 2.0
JingwuChen/SparkStreamSources
Spark Custome Stream Source and Sink
JingwuChen/tensorflow_reading_data
this is just a practice
JingwuChen/tensorflow_with_sklearn
JingwuChen/xgboost-smote-detect-fraud
Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!