smudna,github

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

chapyter

Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks

countdown

⏲ countdown timer for R Markdown slides and HTML docs

crewai-experiments

Experiments with local as well as models available through an api

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making.

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

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.

flower

Flower: A Friendly Federated Learning Framework

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gpt-researcher

GPT based autonomous agent that does online comprehensive research on any given topic

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

kernelshap

Efficient R implementation of Kernel SHAP

langchain

⚡ Building applications with LLMs through composability ⚡

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

lost-stats.github.io

Source code for the Library of Statistical Techniques

ludwig

Data-centric declarative deep learning framework

markovify

A simple, extensible Markov chain generator.

mediacrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频｜评论爬虫、微博帖子｜评论爬虫

mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

openrefine

OpenRefine is a free, open source power tool for working with messy data and improving it

pygwalker

PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis

python

All Algorithms implemented in Python

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency a

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

tidytags

Importing and Analyzing Twitter Data Collected with Twitter Archiving Google Sheets

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