There are 7 repositories under binary-classification topic.
Fast and customizable framework for automatic ML model creation (AutoML)
A multi-platform GUI for bit-based analysis, processing, and visualization
Credit risk analysis for credit card applicants
Binary and Categorical Focal loss implementation in Keras.
Code for Java Deep Learning 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 for best precision/recall.
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
2017-CCF-BDCI-企业经营退出风险预测:9th/569 (Top 1.58%)
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
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
Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
2018-腾讯广告算法大赛-相似人群拓展(初赛):10th/1563 (Top 0.64%)
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
Malicious URL detector using keras recurrent networks and scikit-learn classifiers
Practical ML and NLP with examples.
Package provides javascript implementation of linear regression and logistic regression
Repository for My HuggingFace Natural Language Processing Projects
WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets
🦓 AI-powered OpenStreetMap tool for importing zebra crossings
Binary Image Classification in TensorFlow
Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.
Online machine learning algorithms (based on OLL C++ library)
Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.
2018-JData-联通-基于移动网络通讯行为的风险用户识别:Baseline 0.77