Lex Knape's repositories
generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
embedchain-fastdash
Built with Fast Dash, this app uses Embedchain, which abstracts the entire process of loading and chunking datasets, creating embeddings, and storing them in a vector database. Embedchain itself uses Langchain and OpenAI's ChatGPT API.
RI-DASH
Summary of 'genomic analysis' conducted at the Right Information company. Code for our portfolio page.
find-the-ai-dash
Real or AI quotes made with Dash
OptimizingDashPerformace_wbinar_May17
This contains code shown during the webinar to optimize Dash Apps using Partial Property Updates
openai-quickstart-python
Python example app from the OpenAI API quickstart tutorial
geo-dash-satellite-analysis
Demo app to support March 2023 geospatial webinar
territoria
Territoria is a map that visualizes unsafe places for women that walk in the streets of Monterrey, Mexico.
Dash-by-Plotly
Interactive data analytics
dash-sample-apps
Open-source demos hosted on Dash Gallery
Collecting-weather-info
A dashboard for viewing the temperature history at my house.
beautifulsoup-tutorial
:sparkles: :ramen: Scrape webpage metadata using BeautifulSoup.
blueprints-text
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
Palantir-pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
LexKnape
Config files for my GitHub profile.
sphinx-autoapi
A new approach to API documentation in Sphinx.
tradewithpython-blogs
Repo for storing all blogs written on https://tradewithpython.com/
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
zero_to_deep_learning_video
Repository for the Zero to Deep Learning® Video Course
sagemaker-spark
A Spark library for Amazon SageMaker.
textacy
NLP, before and after spaCy