Fir-lat

pre-training

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

MART

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

robust_overfitting

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

emnlp-2020-spurious

psm-selection

Propensity score matching for feature selection

MMDS_Exercises

Solutions to the Exercises found in Mining Massive Datasets

HUSTER-CS

华中科技大学 计算机科学与技术学院 课程与实验资料💾

Machine-Learning-AG

Andrew Ng Machine Learning Coursera

HUST2020JAVALAB

华科2020JAVA实验

JavaCourse

华中科技大学java语言程序设计作业题，包括基础题和编程题

AssemblyExp

大二下汇编实验

AssemblyLanguage

华中科技大学计算机科学与技术学院2017级汇编语言程序设计实验

SMLFamily.github.io

Web site for standardml.org.

Technical-Analysis-of-Stocks

Application of simulated annealing to trading strategies to generate buy/sell signals that will bring in higher returns than non-adaptive strategies. This assignment was completed as part of the requirements for the Honours Computer Science class Adaptive Business Intelligence at the University of Adelaide, Australia, in 2011.

Stock-Analysis-Markov

Analyzing Stock Movements using Markov Chains and Monte Carlo Simulation

Fir-lat.github.io

Fir's personal blog'