Generative modeling of synthetic time series data and time series augmentations

Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

A generalizable application framework for segmentation, regression, and classification using PyTorch

Brain tumour detector built with YOLOv8 model.

Repository linked to the the thesis titled "Data Augmenation for Norwegian Targeted Sentiment Analyais".

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.

Environment Sound Classification with Deep Learning using Hardware Aware - Neural Architecture Search

Augmenting Time Series Datasets with Weighted Elastic Barycenter Averaging

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

A python library for instagram filters

A summary of python tasks made for my thesis project @ AAU

Medical imaging toolkit for deep learning

An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)