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modal

A modular active learning framework for Python3

multi-component-graph-convolutional-collaborative-filtering

Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"

multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

open_flamingo

An open-source framework for training large multimodal models.

pgvecto.rs

Vector database plugin for Postgres, written in Rust, specifically designed for LLM

pinsage-tf2.0

[WIP] an implement of PinSage recommender system

pmf-pytorch

Probabilistic Matrix Factorization in PyTorch

py-bottom-up-attention

PyTorch bottom-up attention with Detectron2

pyrelational

pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.

pytorch-beginner

pytorch tutorial for beginners

pytorch_geometric

Graph Neural Network Library for PyTorch

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

recommendersystem-dataset

This repository contains some datasets that I have collected in Recommender Systems.

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

rgcn-pytorch

Pytorch implementation of Relational GCN for node classification

rgcn_pytorch_implementation

rl-book

samples

sbm

Bayesian estimation of the latent dimension and communities in stochastic blockmodels

selfcrossattn

PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-modal emotion recognition?"

shopee_project

BIA final project

sictf

Relation Schema Induction using SICTF

smurff

Bayesian Factorization with Side Information in C++ with Python wrapper

spacy-entity-linker

spaCy module for linking text to Wikidata items

ssdkl

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

stellargraph

StellarGraph - Machine Learning on Graphs

stepwise-regression

Project uploaded to Python community

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

streaming-bayesian-deep-tensor

code for paper : Streaming Bayesian Deep Tensor Factorization for ICML 2021