Huaqing Xu's Projects
当样本分布发生变化时,交叉验证无法准确评估模型在测试集上的效果,这时候需要其他构造验证集的方法来应对。
AI Artist for Machine Learning for Hackers #5
🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android / HarmonyOS
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
Astock
Automated Machine Learning with scikit-learn
A pedagogical implementation of Autograd
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Automated machine learning framework in tabular domain, a highly efficient automated gradient boosting machine.
Efficiently computes derivatives of numpy code.
AutoML library for deep learning
XGBoost + Optuna
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Useful resources for using IPFS and building things on top of it
A curated list of awesome JupyterLab extensions and resources
:baby: BabySploit Beginner Pentesting Toolkit/Framework Written in Python :snake:
Python Backtesting library for trading strategies
A Python implementation of global optimization with gaussian processes.
TensorFlow code and pre-trained models for BERT
Bitcoin Core integration/staging tree
Bitcoin/Ethereum key manipulation
Blog Repo.
统计学基础概念,统计分析案例(Behavioral Risk Factor Surveillance System, BRFSS)
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.