Optimal Sparse Decision Trees
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Apr 27, 2023 - Python
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Optimal Sparse Decision Trees
python data-science machine-learning data-mining algorithm python3 accelerate interpretable-ml algorithm-optimization neurips ml-system mlsys acceleration-model
This is my undergraduate thesis about high-performance discrete particle swarm optimization (PSO) algorithm and software development of application on JSSP problem.
A memory-optimized text analysis engine for embedded systems using the LCS algorithm.
arduino cpp embedded-systems memory-management dynamic-programming algorithm-optimization lcs-algorithm wokwi-simulation
ALT algorithms on a grid graph used for routing on the sea.
a-star dijkstra algorithm-optimization alt-algorithm in-polygon-check landmark-algorithm consistent-a-star landmark-distributions
A Java implementation of an algorithm that determines if a target string can be constructed by concatenating elements from a given word bank, using recursion and memoization for optimization.
A short program written in Java calculates the maximum area that can be contained within a set of vertical lines, utilizing a two-pointer algorithm and handling a variety of test cases from simple to complex.
java algorithms coding-challenges two-pointers algorithm-optimization container-with-most-water histogram-area
Java-based application that helps users find and substitute ingredients efficiently.
java full-stack data-structures red-black-tree junit5 educational-project team-collaboration algorithm-optimization csv-integration
This project presents a C++ implementation for efficiently merging two sorted linked lists into a single sorted list. It focuses on utilizing existing nodes from the original lists and maintaining their order in the merged output.
🤖 Enhance recommendations with OneRec-Think, a framework that combines dialogue, reasoning, and personalization for precise and engaging user experiences.
python open-source machine-learning deep-learning data-visualization collaborative-filtering neural-networks recommendation-system data-analysis software-development user-experience performance-evaluation model-training algorithm-optimization one-rec
This Java project focuses on implementing a dynamic programming solution to find the shortest combination of numbers that sum up to a given target sum, using recursion and memoization for efficiency.
memoization recursion dynamic-programming array-manipulations complexity-analysis algorithm-optimization
Code for paper "Dynamic Deep Neural Network Inference via Adaptive Channel Skipping"
deep-neural-networks bigdata dnn neural-networks iot-application edge-computing group-convolution algorithm-optimization edge-intelligence ai-algorithms edge-inference efficient-ai
Official repository for the Modular Projection Sieve: a sublinear Θ(√N/log N) memory algorithm based on Kmin± prime-coprime entanglement over (ℤ/6ℤ)ˣ. Features discrete spectral operator analysis (GOE quantum chaos), Lean 4 formal proofs, and reproducible Python/Numba execution up to N=10⁹.
python reproducible-research embedded-systems modular-arithmetic formal-verification number-theory cryptography-algorithms low-memory random-matrix-theory algorithm-optimization lean-theorem-prover twin-primes prime-sieve quantum-chaos spectral-theory
application i made that checks the users symptoms for the covid 19 virus
python java open-source cpp pathfinding artificial-intelligence netrunner heuristics combinatorial-optimization swarm-intelligence computerscience datavisualization graphtheory traveling-salesman-problem algorithm-optimization colonyoptimization antcolony networkanalysis cyberpunks
Python project implementing Nearest Neighbor and Skyline Query Search algorithms with R-tree data structures for efficient spatial indexing. Part of COMP6210 group project at Macquarie University.
python big-data data-structures nearest-neighbor-search computational-geometry r-tree skyline-query branch-and-bound divide-and-conquer spatial-indexing algorithm-optimization spatial-data-structure comp6210 2d-query-processing
Wine Quality Classification Using Deep Learning
python deep-neural-networks deep-learning optimization cnn pytorch recurrent-neural-networks lstm classification rnn autoencoder deeplearning autoencoders recurrent-neural-network algorithm-optimization
Сравнение классического и блочного умножения матриц на C++ с проверкой корректности и замером производительности.
cmake cpp posix matrix-multiplication matrix-completion protei cache-optimization algorithm-optimization cpp23 2025
A MATLAB-based implementation of fractal image compression enhanced with the Discrete Cosine Transform (DCT), focusing on optimizing compression ratio, PSNR, and memory usage.
signal-processing matlab image-processing data-compression image-compression dct compression-ratio psnr wavelet-transform algorithm-optimization fractal-compression quadtree-partitioning
DuoHash is an advanced tool for the efficient calculation of forward and reverse hashes of spaced k-mers in nucleotide sequences, improving the analysis of genomic data by reducing processing time and computational resources.
hashing bioinformatics genomics computational-biology sequence-analysis dna-sequencing algorithm-optimization spaced-kmer
SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.
machine-learning simulation optimization disk-scheduling machine-intelligence anomaly-detection cpu-scheduling isolation-forest algorithm-optimization bankers-algorithm cpu-intensive resourse-manager
📺 Add-in to visualize videos in Excel sheets.
microsoft video video-player optimization excel office video-processing algorithm-challenges office-addin optimization-algorithms office-365 microsoft-office excel-addin algorithm-optimization office-add-in excel-script office-addins
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