This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.

たまに追加される論文メモ

📈 Adaptive: parallel active learning of mathematical functions

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

An algorithm composed in the arc of Cybernetics. A framework that controls a machine's behaviour subjected to constantly-changing parameters, where it remembers and adapts its operational runtime

A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning

Automatic brightness adjustment based on screen contents and ALS

🔭 Learn anything, adapted for you. Free.

Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉

Config files for my GitHub profile.

[IEEE TKDE 2023] A list of up-to-date papers on streaming tensor decomposition, tensor tracking, dynamic tensor analysis

Learn It

The RESSPECT project is a result from an inter-collaboration agreement established between the Cosmostatistics Initiative (COIN) and the LSST Dark Energy Science Collaboration (DESC) with the goal of developing a recommendation system for telescope resource allocation able to optimize photometric supernova cosmology anaylsis.

Concept Drift Detection and Adaptation Methods - Reference Codes and Papers

Climate pathways using directed chaos

Computationally-free personalization at test time for sEMG gesture classification. Fast (gpu/cpu) ninapro API.

Environment simulation and adaptive learning algorithm development for a cleaning robot. Using probabilistic models to estimate the environment state during decision-making.

Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics

The data-management aspect to the ideal algorithm

Курсовая работа Нетологии.