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Starred repositories
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This is the offical repository of paper "LAMBDA: A large Model Based Data Agent". https://www.polyu.edu.hk/ama/cmfai/lambda.html
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
Playground of example of Streamlit w/ DuckDB
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)
R/Shiny app showcasing forecasting methods for multiple time series
The open source platform for AI-native application development.
Dashboard metadata chatbot for executive officers to retrieve information and guidance to desired information, for corporation with many dashboards, using data dictionaries to connect source inform…
For trading. Please star.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Landslide Susceptibility Assessment Tools - Project Manager Suite
Using DenseNet and AlexNet style architectures applied to the German Traffic Sign Recognition Benchmark(GTSRB) problem
Techniques for deep learning with satellite & aerial imagery
Repository with R code developed for studying the quantitative analysis book by Ernie Chan
🅿 Moscow parking map created with Kepler.Gl
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
HurinHu / ezibpy
Forked from ranaroussi/ezibpyezIBpy, a Pythonic Client for Interactive Brokers API
R Shiny application to annotate footage (HD-stills). Originally created for the UWTV surveys carried out by the Marine Institute (Ireland).
ArcGIS Arcade expression templates for all supported profiles in the ArcGIS platform.
A tool to help improve data quality standards in observational data science.
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)