#自然语言处理#Fast and customizable framework for automatic ML model creation (AutoML)
A multi-platform GUI for bit-based analysis, processing, and visualization
#计算机科学#Credit risk analysis for credit card applicants
#计算机科学#Binary and Categorical Focal loss implementation in Keras.
#计算机科学#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 ...
#自然语言处理#Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
#人脸识别#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%)
#计算机科学#1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
#计算机科学#🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
#计算机科学#Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
#计算机科学#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)
#计算机科学#[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
#计算机科学#A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection
#计算机科学#A set of deep learning models for FRB/RFI binary classification.
2018-腾讯广告算法大赛-相似人群拓展(初赛):10th/1563 (Top 0.64%)