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Fast and customizable framework for automatic ML model creation (AutoML)
python nlp data-science machine-learning regression kaggle binary-classification automl multiclass-classification automated-machine-learning lama automatic-machine-learning automl-algorithms
A multi-platform GUI for bit-based analysis, processing, and visualization
visualization python qt cpp reverse-engineering binary-classification software-defined-radio hexeditor
Credit risk analysis for credit card applicants
python machine-learning numpy scikit-learn card credit-card pandas python3 binary-classification streamlit credit-risk-analysis
Binary and Categorical Focal loss implementation in Keras.
deep-neural-networks deep-learning keras binary-classification loss-functions categorical-cross-entropy cross-entropy-loss
Code for Java Deep Learning Cookbook
nlp machine-learning reinforcement-learning time-series neural-network linear-regression regression cookbook artificial-intelligence classification artificial-neural-networks machinelearning deeplearning nlp-machine-learning binary-classification dl4j deeplearning4j java-machine-learning dl4j-tutorials dl4j-cookbook
autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines…
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
nlp deep-learning text-classification tensorflow keras cnn imdb convolutional-neural-networks binary-classification sentiment-classification yelp-dataset multiclass-classification imdb-dataset
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
children tensorflow keras image-processing cnn kaggle neural-networks facial-recognition face-recognition autism transfer-learning bayes binary-classification bayesian-statistics kaggle-dataset autism-spectrum-disorder mtcnn tensorflow-gpu vgg-face vggface2
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
machine-learning deep-learning kaggle yolo class-imbalance binary-classification breast-cancer rsna mamography convnext
Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.
python benchmark computer-vision deep-learning pytorch calibration image-classification audio-classification binary-classification video-classification multimodal deepfake-detection vision-transformer safetensors dinov2
2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)
Implementation of Focal Loss (Lin et al., 2017, Facebook AI Research) for handling class imbalance by focusing learning on hard, misclassified examples.
pytorch binary-classification loss-functions multiclass-classification multilabel-classification class-balance
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
training machine-learning machine-learning-algorithms ranking semi-supervised-learning binary-classification denoising learning-with-errors rank-pruning-algorithm noise-rates noisy-learning mislabeling learning-with-confident-examples
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
data-science machine-learning data-visualization feature-selection statistical-analysis supervised-learning imputation binary-classification model-application automl-pipeline
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
machine-learning tensorflow linear-regression scikit-learn machine-learning-algorithms supervised-learning classification logistic-regression support-vector-machine softmax-regression binary-classification nearest-neighbours-classifier multilayer-perceptron recurrent-neural-network
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
machine-learning high-performance-computing gbdt data-mining-algorithms binary-classification gradient-boosting regression-algorithms
A set of deep learning models for FRB/RFI binary classification.
machine-learning big-data apache-spark logistic-regression binary-classification naive-bayes-classification pyspark-notebook one-vs-rest malicious-url-detection linear-support-vector-machine
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