zhangry868

Coursera-DataScience-Series

The DataScience Courses from Coursera by John Hopkins University

Learning-Structural-Weight-Uncertainty

Learning Structural Weight Uncertainty (AISTATS 2018)

Scalable-Thompson-Sampling-via-Optimal-Transport

Particle-interactive Thompson Sampling (\pi-TS) (AISTATS 2019)

Lafite

Code for paper LAFITE: Towards Language-Free Training for Text-to-Image Generation (CVPR 2022)

thesis

Danqi Chen's PhD Thesis

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Advanced-Stochastic-Modeling

Course material for Advanced Stochastic Modeling, STA531, Duke University, Spring 2016.

adversarial_time_to_event

ICML 2018: "Adversarial Time-to-Event Modeling"

BanditLib

Library of contextual bandits algorithms

d3rlpy

An offline deep reinforcement learning library

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Duke-Tsinghua-MLSS-2017

Duke-Tsinghua Machine Learning Summer School 2017

google-research

Google AI Research

GuiderGeneration

latex-beamerposter

The LaTeX beamerposter package

learning-to-learn

Learning to Learn in TensorFlow

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

ml-videos

A collection of video resources for machine learning

mtheme

A modern LaTeX Beamer theme

Multiverso

Parameter server framework for distributed machine learning

PRMLT

Pattern Recognition and Machine Learning Toolbox

RandDemo

Source codes for the paper "Robustness of Demonstration-based Learning Under Limited Data Scenario"

RAS

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

rllabplusplus

scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

settings

sta-663-2015

Course materials for STA663

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tf-exercise-gan

Tensorflow implementation of different GANs and their comparisions

VRbound

code release for the NIPS 2016 paper