fffinale Goto Github PK

mathematics-for-machine-learning

This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

network-deconfounder-wsdm20

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

nlp_course

YSDA course in Natural Language Processing

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

notears-1

Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)

ntu-machine-learning

**大学李宏毅老师机器学习

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

numpy-ml

Machine learning, in numpy

pandas-tutorial

适合初级到中级晋升者，有了体系之后就看熟练度了。

proxy-anchor-regression

python

All Algorithms implemented in Python

pytorch-course

JULYEDU PyTorch Course

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

renyi-fair-inference

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

reproducible

reproducibleresearch

stable-diffusion

A latent text-to-image diffusion model

stable_linear_model_learning

The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"

structure-identification

Uses several statistical tests / algorithms on marginal / conditional distributions

thesis

Danqi Chen's PhD Thesis

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tip-adapter

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

variationalprivacyfairness