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A library of reinforcement learning components and agents
Web interface for browsing, search and filtering recent arxiv submissions
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.
A collection of various deep learning architectures, models, and tips
Python Code for Dots And Boxes
A library for efficient similarity search and clustering of dense vectors.
FastSeqSearch combines the strengths of both ANN and DTW while mitigating their weaknesses. It uses FAISS to quickly narrow down the candidate pool, making the initial search extremely fast. Then, it employs fastdtw to refine these candidates with detailed sequence comparisons, maintaining accuracy without the need for excessive computation.
Grok open release
Unity Machine Learning Agents Toolkit
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
The X Spectrum Analysis project aims to analyze and visualize the spectrum of X media posts to determine where they fall on a topic's distribution, whether moderate or extreme, based on vector distances among posts. This tool is instrumental in identifying trends, polarization, and bot-generated content within social media discussions.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
TensorFlow-based neural network library
Computation using data flow graphs for scalable machine learning
The Vectorized Christofides Algorithm combines the strengths of the Christofides algorithm with modern computational techniques. By leveraging vectorized operations, the algorithm achieves significant speedup without sacrificing accuracy. This approach ensures efficient handling of large datasets, making it a robust solution for solving the TSP.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.