🚀高精度生活垃圾分类系统:YOLOv5 层级架构深度魔改,支持 265 种垃圾细分类与四大归属类联合预测。
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Updated
Mar 11, 2026 - Python
🚀高精度生活垃圾分类系统:YOLOv5 层级架构深度魔改,支持 265 种垃圾细分类与四大归属类联合预测。
A hierarchical machine learning framework using Random Forest to classify cancer cell line lineage and subtype from pan-cancer proteomic maps. Demonstrates high-dimensional data preprocessing, EDA (PCA/t-SNE/UMAP), and biomarker identification.
Advanced sentiment analysis on 70,000 Amazon reviews using ensemble NLP models. Combines Unigram, Bigram, TF-IDF, and Hierarchical Naive Bayes with adaptive voting. Achieves 97.74% accuracy (96.6% ensemble). Features n-grams, sentiment lexicons, negation handling. Python, scikit-learn, NumPy, Pandas.
Reliable Hierarchical Operating System Fingerprinting via Conformal Prediction
classiflow – complex classifications made easy Open-source. AI-assisted. User-friendly. Built for ISCO, ISIC, COICOP, and beyond.
ResNet-based hierarchical classifier for hair curl types (3 types x 3 subtypes) integrated with BiSeNet segmentation.
HiGeC: Hierarchy Generation and Classification Framework
Hierarchy-Exploiting Ensembles for Improved Multi-Class Classification
HG4TS_SSF: Hierarchy Generation for Time Series using Stochastic Splitting Functions
ORACLE - The first hierarchical deep-learning model for real-time, context-aware classification of the LSST alert stream
Hierarchical classification of marine life using deep learning. The project leverages PyTorch and EfficientNet to predict the most confident taxonomic level from image data, with a custom loss function and fallback inference for improved taxonomic accuracy.
Code for the paper "Modeling Text-Label Alignment for Hierarchical Text Classification" acepted in ECML PKDD 2024
A real-time American Sign Language (ASL) recognition system
Code for the paper "Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification" acepted in DSAA 2024
Code for the paper "Label hierarchy alignment for improved hierarchical text classification" acepted in 2023 IEEE Bigdata
A project to automate product categorization for Digikala items into hierarchical categories using ParsBERT for text encoding and a classification model.
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Vision-Language Models Toolbox: Your all-in-one solution for multimodal research and experimentation
Classtree is a hierarchical classifier for images or text.
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