BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).
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Updated
May 29, 2024 - Python
BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).
Investigation of the capabilities of foundations models in the context of time series forecasting
Implementation of SOPCNN on MNIST dataset
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
The official training/validation dataset repository for the SOTA? task as SimpleText Task4@CLEF2024
ORON is a state-of-the-art Digital Assistant that is backed by Machine-Learning.
The Waste Classification System is a project that focuses on accurately classifying waste into six different types: cardboard, paper, plastic, metal, glass, and biodegradable using YOLOv8 model. By analyzing waste images, the system provides users with the correct waste category, facilitating effective waste management and recycling efforts.
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
Wireguard auto-installer for Ubuntu, Debian, CentOS and Fedora
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A curated list of the most impressive AI papers
Guideline following Large Language Model for Information Extraction
Tensorflow Implementation of DeepEmotion for Facial Expression Recognition
Microarchitectural exploitation and other hardware attacks.
The Finnish Poem Generator. A computationally creative system that can generate Finnish poetry without training data.
A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.
Rethinking Negative Instances for Generative Named Entity Recognition
A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
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