This repository is dedicated to small projects and some theoretical material that I used to get into NLP and LLM in a practical and efficient way.
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Updated
Jul 4, 2024 - Jupyter Notebook
This repository is dedicated to small projects and some theoretical material that I used to get into NLP and LLM in a practical and efficient way.
Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.
This is the solution for stock-market prediction problem given in flipr 5.0.
A research on self-supervised learning with the interest of applying it into NLP field.
NVIDIA DLI "트랜스포머 기반 자연어 처리 애플리케이션 구축" 워크숍 레포지토리
A Collection of Data sets and Approaches to UAD in Brain MRI.
Projects webpage
Robust Iterative Data Estimation (RIDE)
Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman
One-class classification approach using error of image transformation into one image
This is the code for my master thesis.
Self-supervised monocular depth estimation
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Self-Supervised RGBD Reconstruction from Brain Activity
[ICLR 2023] Link Prediction with Non-Contrastive Learning
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
Learning trajectory representations using self-supervision and programmatic supervision.
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
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