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Search results for jupyter notebook streaming
jupyter-notebook
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streaming
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55 search results found
Nab
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1,764
The Numenta Anomaly Benchmark
Hands On Llms
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1,393
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Scikit Multiflow
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700
A machine learning package for streaming data in Python. The other ancestor of River.
Streaming Benchmarks
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560
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
Learningpyspark
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409
Code base for the Learning PySpark book (in preparation)
Hivemq Mqtt Tensorflow Kafka Realtime Iot Machine Learning Training Inference
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159
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
Tpqoa
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128
tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.
Streaming Demos
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121
Demos of Plotly's Real-time Streaming API
Streamingcnn
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92
To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.
Kafka Sparkstreaming Cassandra
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86
Docker container for Kafka - Spark Streaming - Cassandra
Python Spark Streaming
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73
Real Time Sentiment Tracking On Twitter For Brand Improvement And Trend Recognition
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69
A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)
Kafka Streaming Click Analysis
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56
Use Kafka and Apache Spark streaming to perform click stream analytics
Huanling
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46
利用大数据与人工智能分析预测金融市场
Realtime Data Analytics Using Spark
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39
Realtime social media data analytics with Apache Spark, Python, Kafka, Pandas, etc
Spark Cloudant
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27
Cloudant integration with Spark as Spark SQL external datasource
Dse230_data_analysis_using_hadoop_and_spark_ucsd
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24
Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive, Pig and Spark. The class will include assignment of analyzing large existing databases.
Databricks Notebooks
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22
Collection of Sample Databricks Spark Notebooks ( mostly for Azure Databricks )
Hdinsight Docs
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21
HDInsight Developer's Guide
Streaming Vis Pca
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21
Incremental PCA for Visualizing Streaming Multidimensional Data
Jupyter Flightgear
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20
Streaming live data from FlightGear to plots in a Jupyter notebook
Ramudroid
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20
Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming
Reddit Streaming
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18
streaming eight subreddits from reddit api using kafka producer & spark structured streaming.
Data Pipeline Project
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18
Data pipeline project
Esp32_kws
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17
Yandex Big Data Engineering
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15
T Watch
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15
Real Time Twitter Sentiment Analysis Product
Lambda Architecture Demo
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14
Developing a Lambda Architecture pipeline using Apache Kafka, Spark Structured Streaming, Redshift, S3, Python
Blog
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13
Streaming Lab
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13
Artifacts and resources to support the streaming and event processing labs for radanalytics.io
Sentiment Analysis Twitter Word2vec Keras
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13
A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.
Tsa
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12
Time Series Anomaly Detection Toolkit
Cancelout
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11
CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data.
Stream Recommender
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11
Experiments of item recommendation in a streaming environment
Sra_tinder
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11
Find hot data sets in your area (of research)!
Amazon Sagemaker Feature Store Streaming Aggregation
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10
This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.
Twittertrends
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10
Get Twitter trends with twitter4j, stream it to a Kafka topic, save it to MongoDB and visualize in Google Maps
Spoty Records
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9
Extract Spotify streaming history and use API to obtain song features.
Pygotham_spark_streaming_demo
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8
PyGotham 2017: Spark Streaming for World Domination (and other projects)
Blog
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8
Jupyter Notebooks and other code used for blog posts
Streaming Perspective Jupytercon 2020
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8
Notebooks, slides, and examples for "Streaming, cross-sectional data visualization in Jupyterlab with Perspective and Apache Arrow", my Jupyter community: tools and practices talk at Jupytercon 2020.
Live Streaming Of Iot Data Using Streaming Analytics
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8
Live streaming IoT data
Medstream Analytics
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8
The project leverages Apache Flink, Apache Kafka and Python digital Twin to provide real-time insights into healthcare data, enabling timely interventions and proactive patient care.
Graph Streaming
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8
A streaming algorithm for graph clustering
Spark Streaming Twitter
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7
Building pipeline to process the real-time data using Spark and Mongodb.
Fink Science
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7
Define your science modules to add values to Fink alerts!
Google Colab Peerflix Server
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7
Chunked_requests
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7
A wrapper around Python's httplib for streaming, chunk-encoded HTTP requests
Feature Store
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6
A containerized approach using Apache Kafka, Spark, Cassandra, Hive, Jupyter, and Docker-compose.
Submodularstreamingmaximization
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6
A C++ package for streaming submodular function maximization with Python bindings
Sample.starter_notebooks
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5
Notebooks showing Streams applications written in Python
Gpu Streamz
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5
Live GPU monitoring with streamz
Docker Spark Kafka Streaming
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5
Docker files for starting a containers with Spark, enabled with Kafka streaming and Apache Toree notebook
Neuromatch2020 Twitter
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5
Twitter data analysis from #NeuroMatch2020
Spark For Dummies
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5
Mastering Spark 2 from the very beginning
Sparkstreaming Network Anomaly Detection
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5
This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.
Demo
⭐
5
AI+ [Data, I/O, and TensorFlow: Building A Reliable Machine Learning Data Pipeline]
Twitch_streamers_recommender
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5
This is a recommender system which provides Twitch streamers with suggestions on what type of content is best to stream at any given time.
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