Michael Galvin's repositories
-Subscription-Customer-or-Regular-Customer
Machine Learning to determine if the customer will be a monthly subscription customer (Like Dollar Shave Club, Spotify, Pandora or a Amazon Prime Member), or will they just remain a regular/free customer?
alibi-detect
Algorithms for outlier, adversarial and drift detection
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python
Chat-with-Github-Repo
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
data-science-template
Template for a data science project
DataChad
Ask questions about any data source by leveraging langchains
DDPG-Keras-Torcs
Using Keras and Deep Deterministic Policy Gradient to play TORCS
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
FableForge
Generate a picture book from a single prompt using OpenAI function calling, replicate, and Deep Lake
FairytaleDJ
You got a friend in me
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
JarvisBase
Question-answering chatbot using OpenAI's GPT-3.5-turbo model, DeepLake for the vector database, and the Whisper API for voice transcription. The chatbot also uses Eleven Labs to generate audio responses.
machine-learning-predict-customers-next-purchase
Machine Learning to predict a customer's next purchase - Fulfills many use-cases from recommendation systems to loyalty programs.
Machine-Learning-to-Predict-Customer-Loyalty-Trajectory
Customer loyalty is the strength of the relationship a customer has with a business as manifested by customer purchasing more and at high frequency. There are various signal or events related to a customer’s engagement with a business. Some examples are transactions, customer service calls and social media comments.
machine_learning_examples
A collection of machine learning examples and tutorials.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pytorch-tutorial
tutorial for researchers to learn deep learning with pytorch.
SalesCopilot
Intelligent sales assistant built using Deep Lake, Whisper, LangChain, and GPT 3.5/4
skip-thoughts
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks