ahxt Goto Github PK

ahxt.github.io

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.

bilibili-go-common

demo-allauth-bootstrap

Django sample app with users including social auth via Django-AllAuth

dropedge

Anonymous code submission

fair_fairness_benchmark

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

g-mixup

[ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification

g2r

[WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction

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-acceptance-unit-test-cycle

hw-rails-intro

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

llmspracticalguide

nearby

nemo

NeMo: a toolkit for conversational AI

neuacf

Implementation of paper Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks

new_metric_for_demographic_parity

[TMLR] Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity

rottenpotatoes-rails-intro

RottenPotatoes app skeleton for saasbook/hw-rails-intro

self-attentive-ncf

Source code for our Paper "Self-Attentive Neural Collaborative Filtering"

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.

typst-tmlr