Pinned Repositories
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
gensim
Topic Modelling for Humans
geo-prescriptions
Geomapping GP prescriptions during Open Healthcare Data Hackathon 2014 by Data Science London
langchain-agent-qa
Tutorial in Question Answering with Langchain Agent
news_app_churn
pycon-2016-nlp-tutorial
PyCon 2016 Tutorial Session -- Making Connections with Natural Language Processing
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
wkshop
tmylk's Repositories
tmylk/pycon-2016-nlp-tutorial
PyCon 2016 Tutorial Session -- Making Connections with Natural Language Processing
tmylk/langchain-agent-qa
Tutorial in Question Answering with Langchain Agent
tmylk/gensim
Topic Modelling for Humans
tmylk/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
tmylk/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
tmylk/spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
tmylk/when-is-it-kata-with-langchain
tmylk/data-kata
Coding exercises for improving Data skills
tmylk/notes-on-dirichlet-processes
:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
tmylk/pydata-2018
tmylk/pynorama
Natural Language Processing Visualization in Python
tmylk/socrates-code-retreat
tmylk/TopicModeling-1
Topic Modeling on Apache Spark
tmylk/ai-comedy-club
You are about to step into our virtual comedy club, but there's a twist - the stage is open only for AI performers! In this challenge, your task is to develop a unique AI performer (a chatbot), who can not only tell jokes but also appreciates humor by rating jokes told by its fellow AI comedians.
tmylk/airqual
tmylk/building-spark-applications-live-lessons
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
tmylk/coala
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
tmylk/data_validation
Tutorial for implementing data validation in data science pipelines
tmylk/fabric
Simple, Pythonic remote execution and deployment.
tmylk/gensim-feedstock
A conda-smithy repository for gensim.
tmylk/gensim-manylinux
Linux wheels for gensim
tmylk/grammaregex
Regex like pattern tree matching but on sentence's tree instead of Strings
tmylk/gsoc
Numfocus Google Summer of Code Materials
tmylk/image_gensim
tmylk/mlbookcamp-code
The code from the Machine Learning Bookcamp book and a free course based on the book
tmylk/modal-kata
tmylk/scikit-learn
scikit-learn: machine learning in Python
tmylk/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
tmylk/superduperdb
Deploy, train and operate AI in MongoDB
tmylk/yearly_prescriptions