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adversarial_validation_case_study

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

AI Artist for Machine Learning for Hackers #5

aidlearning-framework

🔥🔥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

aiqingnote

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

antai-cup

antaicup

antaicup-old

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

astock

Astock

auto-sklearn

Automated Machine Learning with scikit-learn

autodidact

A pedagogical implementation of Autograd

autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

autogbm

Automated machine learning framework in tabular domain, a highly efficient automated gradient boosting machine.

autograd

Efficiently computes derivatives of numpy code.

autokeras

AutoML library for deep learning

autotabular

autoxgb

XGBoost + Optuna

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-ipfs

Useful resources for using IPFS and building things on top of it

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

babysploit

:baby: BabySploit Beginner Pentesting Toolkit/Framework Written in Python :snake:

backtrader

Python Backtesting library for trading strategies

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bert

TensorFlow code and pre-trained models for BERT

bitcoin

Bitcoin Core integration/staging tree

blocksmith

Bitcoin/Ethereum key manipulation

blog

Blog Repo.

brfss

统计学基础概念，统计分析案例(Behavioral Risk Factor Surveillance System, BRFSS)

caffe

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

catboost

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.