Bekyilma

Personalized-Visual-Art-Recommendation

Personalized Visual Art Recommendation by Learning Latent Semantic Representations

RecSys-an-overview

Recommender Systems: an overview[Course_materials]; Doctoral education programme in Computer Science and Computer Engineering at University of Luxembourg.

VA_RecSys

Learning Latent Semantic Representations of Paintings for Personalized Recommendation

MRL_VA_RecSys

Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation

Multi-Stakeholder_RecSys

Personalisation in Cyber-Physical-Social Systems: A Multistakeholder aware Recommendation and Guidance in National Gallery

RecSys

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

Awesome-Multimodal-Large-Language-Models

Latest Papers and Datasets on Multimodal Large Language Models

Bekyilma

bekyilma.github.io

Embedding-in-Recommender-Systems

gesture_augmentation

Data augmentation for stroke gestures

giskard

🐢 The testing framework for ML models, from tabular to LLMs

gsasrec

code for the gsasrec paper

ImageBind

ImageBind One Embedding Space to Bind Them All

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

llama

Inference code for LLaMA models

LLM-Finetuning

LLM Finetuning with peft

LLM-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.

LLMCode

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

opendata

The National Gallery of Art Open Data Program

openTSNE

Extensible, parallel implementations of t-SNE

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

RecSysAO23

the-algorithm

Source code for Twitter's Recommendation Algorithm

ToMe

A method to increase the speed and lower the memory footprint of existing vision transformers.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

VSC22-Submission

[CVPR 2023 Workshop] The code reproduce the results of our solutions on both tracks for Meta AI Video Similarity Challenge (CVPR 2023 Workshop). Our solutions got the first place on both tracks, including Descriptor Track and Matching Track.