Topic: transferlab Goto Github
Some thing interesting about transferlab
Some thing interesting about transferlab
transferlab,Software design principles for machine learning applications
Organization: aai-institute
transferlab,Experiments for the paper "Class-wise and reduced calibration methods", ICMLA 2022
Organization: aai-institute
transferlab,Learning function operators with neural networks.
Organization: aai-institute
transferlab,continuity → continuiti
Organization: aai-institute
transferlab,A library for calibrating classifiers and computing calibration metrics
Organization: aai-institute
transferlab,Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Organization: aai-institute
transferlab,pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Organization: aai-institute
Home Page: https://pydvl.org
transferlab,The Python library for sensible AI.
Organization: aai-institute
Home Page: https://aai-institute.github.io/sensAI/docs/
transferlab,The pyDVL slides for pyData Berlin 2024
Organization: aai-institute
Home Page: https://pydata2024.pydvl.org
transferlab,TfL course on probabilistic model checking using storm
Organization: aai-institute
Home Page: https://transferlab.appliedai.de/trainings/probabilistic-model-checking-with-storm/
transferlab,
Organization: aai-institute
transferlab,Repository with material for the RL workshop at TUM.AI
Organization: aai-institute
transferlab,TeXmacs plugin for TransferLab contributions
Organization: aai-institute
transferlab,Normalizing flows for neuro-symbolic AI
Organization: aai-institute
transferlab,An elegant PyTorch deep reinforcement learning library.
Organization: thu-ml
Home Page: https://tianshou.org
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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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.
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We are working to build community through open source technology. NB: members must have two-factor auth.
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Data-Driven Documents codes.
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