Bereket A. Yilma (Bekyilma)

Bekyilma

Geek Repo

Company:University of Luxembourg

Location:Luxembourg

Home Page:https://bekyilma.github.io

Twitter:@bek_yilma

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Organizations
HitLA-ML

Bereket A. Yilma's repositories

Personalized-Visual-Art-Recommendation

Personalized Visual Art Recommendation by Learning Latent Semantic Representations

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VA_RecSys

Learning Latent Semantic Representations of Paintings for Personalized Recommendation

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MRL_VA_RecSys

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

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Multi-Stakeholder_RecSys

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

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

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Awesome-Multimodal-Large-Language-Models

Latest Papers and Datasets on Multimodal Large Language Models

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gesture_augmentation

Data augmentation for stroke gestures

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giskard

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

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gsasrec

code for the gsasrec paper

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ImageBind

ImageBind One Embedding Space to Bind Them All

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llama

Inference code for LLaMA models

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LLM-Finetuning

LLM Finetuning with peft

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LLM-scientific-feedback

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

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netflix-style-recommender

A simple movie recommendation engine

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opendata

The National Gallery of Art Open Data Program

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openTSNE

Extensible, parallel implementations of t-SNE

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PaLM-rlhf-pytorch

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

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pandas-ai

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

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the-algorithm

Source code for Twitter's Recommendation Algorithm

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ToMe

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

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Video-STaR

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

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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.

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