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followers: 620.0 following: 1.3K repos: 2.8K gists: 73.0

Name: Timothy Spann

Type: User

Company: Principal Developer Advocate

Bio: PrincipalDev Advocate, Vector Database, Milvus, Apache NiFi, Data Engineer, IoT, AI, ML, Python Developer, RP, FLANK, Apache Kafka, Java

Twitter: paasdev

Location: Princeton, New Jersey, USA

Blog: https://www.datainmotion.dev/

Timothy Spann

Principal Developer Advocate Streaming, Cloudera

Youtube Channel: https://www.youtube.com/@FLiP-Stack

See my full details here: https://github.com/tspannhw/SpeakerProfile

Tim Spann is the Principal Developer Advocate for Streaming @ Cloudera, the Big Data Zone leader and blogger at DZone and an experienced data engineer with 15 years of experience. He runs the Future of Data Princeton meetup as well as other events. He has spoken at Philly Open Source, ApacheCon in Montreal, Strata NYC, Oracle Code NYC, IoT Fusion in Philly, meetups in Princeton, NYC, Philly, Berlin and Prague, DataWorks Summits in San Jose, Berlin and Sydney.

Milvus, Unstructured Data Processing, Open Source Vector Database, towhee, Attu, Milvus CLI, Milvus Backup, Milvus Sizing Tool, feder, GPTCache, Hugging Face, Python, LLM, Pytorch, LangChain, RAG, Ollama.

Upcoming Events: Conferences, Meetups, ...

🔭 I’m currently working on talks on Milvus, towhee, Attu, GPTCache, HuggingFace, NiFi, Kafka, Flink, Iceberg, Ozone, Pulsar, Pinot, ...
🌱 I’m currently learning Milvus.
👯 I’m looking to collaborate on FLANK-AIM Stack (Flink + NiFi + Kafka - AI - Milvus)
💬 Ask me about Milvus, Unstructured Data Processing, towhee, Attu, Vector Databases, RAG, Apache NiFi, Apache Flink, Apache Kafka, Apache Pulsar, Apache Iceberg, Cloud Native Data, Unified Data Ingest, Streaming, Messaging, IoT, Java Deep Learning, Edge Devices, Big Data
📫 How to reach me: @PaasDev https://dev.to/tspannhw
😄 Pronouns: They call him, "Tim"
⚡ Fun fact: Cats
⚡ Meet Me Online: https://www.meetup.com/new-york-city-apache-pulsar-meetup/ https://www.meetup.com/futureofdata-princeton/
Articles: https://www.datainmotion.dev/
Everything Apache NiFi: https://github.com/tspannhw/EverythingApacheNiFi
Everything Apache Pulsar: https://github.com/tspannhw/EverythingApachePulsar

Timothy Spann's Projects

multivariate_time_series_forecasting

A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.

mushr

MuSHR: Multi-agent System for non-Holonomic Racing

music-auto_tagging-keras

Music auto-tagging models and trained weights in keras/theano

music-synthesis-with-python

This is the repository for the Music Synthesis with Python talk, originally given at PyGotham 2017.

muze

Composable data visualisation library for web with a data-first approach now powered by WebAssembly

mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

mxnet-for-iot

Apache MXNet for IoT

mxnet-in-notebooks

Apache MXnet running in Apache Zeppelin and in DSX Jupyter

mxnet-model-server

Model Server for Apache MXNet is a tool for deploying neural net models for inference

mxnet-yolo

YOLO: You only look once real-time object detector

mxnet_rpi

MXNet RPI

mxnet_to_onnx

MxNet to ONNX Exporter

mxnetday2020

Apache MXNet Day 2020 - Using Apache MXNet in Production Deep Learning Streaming Pipelines. Timothy Spann, Cloudera

myzhar-darknet

Convolutional Neural Networks

nakedtensor

Bare bottom simplest example of machine learning in TensorFlow.

nano_build_opencv

Build OpenCV on Nvidia Jetson Nano

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nats-connector-framework

A pluggable service to bridge NATS with other technologies

nats-messaging-for-nifi

Initial release of NATS messaging processors for Apache Nifi

nbody-ai-retrieval

A python 3 package for generating N-body simulations, computing transit timing variations (TTV) and retrieving orbit parameters from TTV measurements within a Bayesian framework using machine learning

nemo

NeMo: a toolkit for conversational AI

neptune-examples

netbyte

Netbyte is a Netcat-style tool that facilitates probing proprietary TCP and UDP services. It is lightweight, fully interactive and provides formatted output in both hexadecimal and ASCII.

nethopeglobalsummit2019nifi

NiFi, Data Engineering, Data Ingest, REST, ETL, Mapping, ELT, SQL, Spark, Kafka for Good

network_topology_analysis

Code to collect and analyze traceroute data within a network topology

neural-em

Code for the "Neural Expectation Maximization" paper.

neural-sentiment

A sentiment analyzer using deep rnns, built with TensorFlow

neural-style

Neural style in TensorFlow! • http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/ • https://git.io/style

neuralqa

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

neuralstyletransfer_mxnet

Neural Style Transfer demo with MXNet

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