edumagol

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

Fooocus

Focus on prompting and generating

Flowise

Drag & drop UI to build your customized LLM flow

tsfresh

Automatic extraction of relevant features from time series:

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

gpt-llm-trainer

tods

TODS: An Automated Time-series Outlier Detection System

streamsync

No-code in the front, Python in the back. An open-source framework for creating data apps.

functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

tsfel

An intuitive library to extract features from time series.

langcorn

⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops

streamlit-elements

Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more!

barfi

Python Flow Based Programming environment that provides a graphical programming environment.

skyline

Anomaly detection

Awesome-time-series

A comprehensive survey on the time series domains

OpenAIWorkshop

workshop materials to build intelligent solutions on Open AI

TimeSeriesForecastingInPython

streamlit-pandas-profiling

Pandas profiling component for Streamlit.

looper

A resource list for causality in statistics, data science and physics

NewsGPT

streamlit-on-Hover-tabs

Custom tabs for on hover streamlit navigation bar created by custom css

challenge-with-langchain

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

MC-CP

All the material needed to use MC-CP and the Adaptive MC Dropout method

industry-ts

Python library that provides functions to manipulate time series collected from industrial contexts.

DDPG-Tensorflow

Tensorflow-based DDPG implementation with a DVC tracked pipeline for experiments.