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actuarialdatascience

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

aix360

Interpretability and explainability of data and machine learning models

allennlp

An open-source NLP research library, built on PyTorch.

amazon-sagemaker-generativeai

Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

apache_1503

bayesianml

PyMCon 2020 talk

bert-relation-extraction

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

bsts-stan

Naive implementations of Bayesian Structural Time Series models in Stan.

coursera

Quiz & Assignment of Coursera

credit_risk_contagion

datasciencecoursera

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-google-colab

GitHub repository for the Deep Learning with Google Colab online course, published by BPB Publications

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

dirty_cat

Encoding methods for dirty categorical variables

dstoolkit

Repository Created for DS Toolkit

emjmcmc2016

Bayesian model configuration, selection and averaging in complex regression contexts

examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

facet

Human-explainable AI.

gluon-ts

Probabilistic time series modeling in Python

hands-on-llms

🦖 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

insurance

Collection of machine learning applied to french motor claims data

interpret

Fit interpretable models. Explain blackbox machine learning.

kermit

🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings

knowledge_gpt

Accurate answers and instant citations for your documents.

kubeflow-examples

Examples for Kubeflow and Kubeflow pipelines

langchain-tutorials

Overview and tutorial of the LangChain Library