rafabelokurows

rafabelokurows's Stars

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python234k6.1k025.3k

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python148k1.1k7.7k27.6k

• abi/screenshot-to-code

  Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

  Language:Python68.4k4083648.4k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.8k2768763.2k

• joaomdmoura/crewAI

  Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

  Language:Python17.1k2066232.3k

• facebookresearch/codellama

  Inference code for CodeLlama models

  Language:Python13.9k1591691.4k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.9k396161.9k

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.4k961.6k955

• mage-ai/mage-ai

  🧙 Build, run, and manage data pipelines for integrating and transforming data.

  Language:Python8.1k61931818

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.3k140484943

• 0xk1h0/ChatGPT_DAN

  ChatGPT DAN, Jailbreaks prompt

  6.8k17184618

• DistrictDataLabs/yellowbrick

  Visual analysis and diagnostic tools to facilitate machine learning model selection.

  Language:Python4.3k103696562

• QuantEcon/QuantEcon.py

  A community based Python library for quantitative economics

  Language:Python2k1502882.3k

• time-series-foundation-models/lag-llama

  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

  Language:Python1.4k33111163

• majacinka/crewai-experiments

  Experiments with local as well as models available through an api

  Language:Python955297242

• pymc-labs/CausalPy

  A Python package for causal inference in quasi-experimental settings

  Language:Python9492722666

• ObservedObserver/streamlit-shadcn-ui

  Using shadcn-ui components in streamlit

  Language:TypeScript869102673

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  48016240

• cerlymarco/linear-tree

  A python library to build Model Trees with Linear Models at the leaves.

  Language:Jupyter Notebook372124158

• storopoli/Bayesian-Statistics

  Bayesian statistics graduate course

  Language:Typst347121056

• microsoft/finnts

  Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

  Language:R192117536

• DoubleML/doubleml-for-r

  DoubleML - Double Machine Learning in R

  Language:R13766327

• RamiKrispin/ollama-poc

  Getting started with Ollama for Python - a short tutorial for setting up Ollama for Python

  Language:Python1245022

• riatelab/maptiles

  Download, compose and display map tiles with R

  Language:R10672611

• einatboro/awesome-survival-analysis

  Resources for Survival Analysis

  936011

• arthurwelle/VIS

  miscellaneous visualizations, mostly R and D3.js

  11200

• shaunhoang/bakerloo-ext-lp

  Locating new locations for the Bakerloo Line Extension with Linear Programming

  Language:Jupyter Notebook410

• areias/dollarblues

  Dollar Blues: Predicting the Black Market Exchange Rate in Argentina through Google Search Behavior

  Language:Python2100

• moralmar/geom_hurricane

  Assignment for: "R Data Visualization"

  Language:R1000

• shaunhoang/london-airbnb-crime

  Revealing effect of Airbnb listing density on predicting crime using Geographically Weighted Regression (GWR)

  Language:Jupyter Notebook110