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Companion webpage to the book "Mathematics For Machine Learning"
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
A complete daily plan for studying to become a machine learning engineer.
Machine Learning Engineering Open Book
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
The official PyTorch implementation of Google's Gemma models
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Public repo for DeepLearning.AI MLEP Specialization
System design patterns for machine learning
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
[CVPR 2024] Official repository of From-Ground-To-Objects
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data
Refine high-quality datasets and visual AI models
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
ML and DL related contests, competitions and conference challenges.
A curated list of awesome places to learn and/or practice algorithms.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Infrastructures™ for Machine Learning Training/Inference in Production.
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Programmatically collect normalized news from (almost) any website.
The fastai book, published as Jupyter Notebooks
Production infrastructure for machine learning at scale
Deep Learning and deep reinforcement learning research papers and some codes
🎓 Path to a free self-taught education in Computer Science!
Google's Engineering Practices documentation
Markdown source for Michael Abrash's Graphics Programming Black Book
😎 Awesome lists about all kinds of interesting topics
An opinionated list of Python frameworks, libraries, tools, and resources