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PyTorch implementation of "Efficient Neural Architecture Search
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and...
This library implements several locality sensitive hashing(LSH) based algorithms, including indexing data structure for high dimensional spaces and metric spaces, sketch constructions and set embedding algorithms.
LaptopBase is meant to serve as a database of laptops running linux. The database will embrace a structure that will bond together make, model, problem and solution! - Using/Choosing laptops in linux should be easier!
PileWorks provides the organizational structure for coordinating several different projects which approach some aspect of Pile Technology. PileWorks defines a set of interfaces and implements some basic infrastructure for Pile engines and agents.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.