ssui.liu's starred repositories

LLaMA-Factory

Unify Efficient Fine-Tuning of 100+ LLMs

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project-2023-vizssr

project-2023-vizssr created by GitHub Classroom

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PyTorch-EMDLoss

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

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taxonomy-extraction

Unsupervised, geometry-based taxonomy learning for knowledge graphs

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OpenEA

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

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DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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Causal-Recommender-Systems

An index of causal inference based recommendation algorithms.

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DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

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IDGL

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

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Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

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HGSL

Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks

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deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

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communities

Library of community detection algorithms and visualization tools

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learnable-embed-sizes-for-RecSys

A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems

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2021

Materials for Applied Data Analysis CS-401, Fall 2021

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2020

Materials for Applied Data Analysis CS-401, fall 2020

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CSE-Autoloss

Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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effect-dps-public

Understanding the effects of data parallelism and sparsity on neural network training

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kbc

Tools for state of the art Knowledge Base Completion.

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ML_course

EPFL Machine Learning Course, Fall 2023

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higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

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LearningToLearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

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kge

LibKGE - A knowledge graph embedding library for reproducible research

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PyG-GraphSAGE

使用Pytorch Geometric(PyG)实现了Cora、Citeseer、Pubmed数据集上的GraphSAGE模型(full-batch)

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meta-learning-lstm-pytorch

pytorch implementation of Optimization as a Model for Few-shot Learning

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learning-to-learn-by-pytorch

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

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thesisuestc

ThesisUESTC-电子科技大学毕业论文模板

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gae

Implementation of Graph Auto-Encoders in TensorFlow

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dpq_embedding_compression

Differentiable Product Quantization for End-to-End Embedding Compression.

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