luhuanwu Goto Github PK

argmax_flows

Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

bayesian-invariant-risk-minmization

This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

diffusion-lm

Diffusion-LM

electronic_ratings_visualization

Exploration and Visualization for Electronic Products

gitignore

A collection of useful .gitignore templates

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

homework

Assignments for CS294-112.

intro_dgm

An Introduction to Deep Generative Modeling: Examples

luhuanwu.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

machine-learning

:earth_americas: machine learning algorithms tutorials (mainly in Python3)

microbialdynamics

multinomial_diffusion

nju-ucb_courses

A placeholder for my courses taken in my undergraduate time at Nanjing University and UC Berkeley.

particles

Sequential Monte Carlo in python

pplvm

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

repaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

requests-for-research

A living collection of deep learning problems

rrws

sdeflow-light

A minimalist implementation of score-based diffusion model

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

uml-notes