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University of Cambridge
- Cambridge, UK
Stars
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Code files for course "A deep understanding of AI large language model mechanisms"
A markup-based typesetting system that is powerful and easy to learn.
Pola pomoże Ci odnaleźć polskie wyroby. Zabierając Polę na zakupy odnajdujesz produkty “z duszą” i wspierasz polską gospodarkę.
Learn LeetCode and prepare for coding interviews with free resources.
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
A python library for decision tree visualization and model interpretation.
Your interactive network visualizing dashboard
Cost reduction tools and techniques for LLM based systems
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Unified framework for building enterprise RAG pipelines with small, specialized models
A collection of learning resources for curious software engineers
A simple daemon that restores your window positions on external monitors.
Convert Machine Learning Code Between Frameworks
Easier audio-based machine learning with TensorFlow.
🔗 Some useful websites for programmers.
Genentech 404 Challenge (Kaggle) - 2nd Place
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Automatic extraction of relevant features from time series:
[WIP] Unified interface to various backends used for hosting connectomes in the cloud.
List of Computer Science courses with video lectures.
Tutorial codes for modeling brains with neural nets