Stars
This repository contains the source code of the paper "Learning Accurate and Interpretable Decision Rule Sets from Neural Networks".
Table Schema mapping using LLM [archive]
Automated Interactive Brokers Portfolio Rebalancing cli
Stable Diffusion web UI
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A guide for technical professionals looking to start consulting
Nasdaq Data Link provides a modern and efficient method of delivery for real-time exchange data and other financial information. This repository provides a Python SDK for developing applications us…
**Unofficial / Community** Kafka Connect MongoDB Sink Connector -> integrated 2019 into the official MongoDB Kafka Connector here: https://www.mongodb.com/kafka-connector
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
A concise and universal guide to clear software design.
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
🧠 Leon is your open-source personal assistant.
PySpark-Tutorial provides basic algorithms using PySpark
🐥 A code review bot powered by ChatGPT
Interact with your documents using the power of GPT, 100% privately, no data leaks
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
Allows the Nintendo Switch Pro Controller, Joycons and SNES controller to be used with CEMU, Citra, Dolphin, Yuzu and as generic XInput
https://huyenchip.com/ml-interviews-book/
An open access book on scientific visualization using python and matplotlib
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and cau…
🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Data science interview questions with answers. Not ideally (yet)
Data science interview questions and answers
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python