479 skills found · Page 1 of 16
stas00 / Ml EngineeringMachine Learning Engineering Open Book
microsoft / NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
kedro-org / KedroKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
kelvins / Awesome Mlops:sunglasses: A curated list of awesome MLOps tools
decodingai-magazine / Llm Twin Course🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
CyberAlbSecOP / Awesome GPT Super PromptingChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.
https-deeplearning-ai / Machine Learning Engineering For Production PublicPublic repo for DeepLearning.AI MLEP Specialization
asavinov / Intelligent Trading BotIntelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
benthecoder / Yt Channels DS AI ML CSA comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
alicezheng / Feature Engineering BookCode repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
openai / Mle BenchMLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
SE-ML / Awesome SemlA curated list of articles that cover the software engineering best practices for building machine learning applications.
WecoAI / AidemlAIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
abhishek-ch / Around DataengineeringA Data Engineering & Machine Learning Knowledge Hub
ashishpatel26 / Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
saltudelft / Ml4seA curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
google / TemporianTemporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
jadianes / Data Science Your WayWays of doing Data Science Engineering and Machine Learning in R and Python
aikho / Awesome Feature EngineeringA curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
mozilla / BugbugPlatform for Machine Learning projects on Software Engineering
