Xiaotian Han's repositories
fair_fairness_benchmark
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
new_metric_for_demographic_parity
[TMLR] Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity
self-attentive-ncf
Source code for our Paper "Self-Attentive Neural Collaborative Filtering"
autokeras
AutoML library for deep learning
Awesome-Deep-Community-Detection
Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction _or_contribution} file.
demo-allauth-bootstrap
Django sample app with users including social auth via Django-AllAuth
DropEdge
Anonymous code submission
gputasker
An awesome gpu tasks scheduler. 轻量好用的GPU机群任务调度工具。觉得有用可以点个star
graph-data-augmentation-papers
A curated list of graph data augmentation papers.
GraphNAS
This directory contains code necessary to run the GraphNAS algorithm.
hw-refactoring-legacy-code-bug-fix
Legacy Assignment involving a bug fix
hw-ruby-intro
Ruby Introduction Assignment for Agile Development using Ruby on Rails
Kalman-Filters
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.
llama
Inference code for LLaMA models
llm.c
LLM training in simple, raw C/CUDA
NeMo
NeMo: a toolkit for conversational AI
rottenpotatoes-rails-intro
RottenPotatoes app skeleton for saasbook/hw-rails-intro
typo
Typo is the oldest and most powerful Ruby on Rails blogware, providing custom templates, powerful drag and drop plugins API, advanced SEO capabilities, XMLRPC API and many more.