wanghaoxue0 Goto Github PK

books-benefical

catboost-synthetic

causaltoolbox

centernet-keras

这是一个centernet-keras的源码，可以用于训练自己的模型。

computational_statistics

lecturer: Prof. Nicolai Meinshausen

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deepeval

The Evaluation Framework for LLMs

doubleml

DoubleML - Double Machine Learning in R

eth-zurich-sparse-learning-material

the slides for course sparse learning in ETH zurich, the textbook is Statistical Learning with Sparsity The Lasso and Generalizations by Standford University

example-code

Example code for the book Fluent Python

figs

Fast Interpretable Greedy-Tree Sums

groot

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

hstree

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods

hypertension

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

kali-linux-study

keras-face-recognition-master

use seq2seq for face recognition

lightdml

A light version of double machine learning with instrumental variable

machinelearning

Machine learning resources

nlp_tasks

A guidance for automatic annotation

notes-for-reading-

个人读书笔记，同时保存mobi文件

pandas

Data & Code for my video on the Pandas library of Python

platelets_model

coding for model けっしょうばん, support macOS system

pytorch_project

Implementation of pytorch in real task and datasets

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

quant-strat

I developed a pair trading-based strategy, where I used unsupervised learning to identify correlated stocks and employs supervised methods like Linear Regression to analyze and execute trades, aiming to minimize risks and maximize returns. The trading execution is based on the z-score, which is (spread)/(standard deviation of spread)

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

splitknockoff

data adaptive variable selection framework for controlling the (directional) false discovery rate (FDR) in structural sparsity

swiftguide

Swift Featured Projects in brain Mapping

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