Pinned Repositories
awesome-differential-privacy
awesome-memorization
This repo will focus on the selection of
BROADCAST
Distributed-Optimization
Rearrangement of articles, books, etc under the topics of distributed optimization
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Empirical-Bayes
Summer Research in the topic of Empirical Bayes
forshining.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Midterm-Project-Statistical-Learning
q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
TimeSeries-Assignment
Forshining's Repositories
Forshining/TimeSeries-Assignment
Forshining/awesome-differential-privacy
Forshining/awesome-memorization
This repo will focus on the selection of
Forshining/BROADCAST
Forshining/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
Forshining/Distributed-Optimization
Rearrangement of articles, books, etc under the topics of distributed optimization
Forshining/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Forshining/Empirical-Bayes
Summer Research in the topic of Empirical Bayes
Forshining/forshining.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Forshining/Midterm-Project-Statistical-Learning
Forshining/q-diffusion
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.