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Hi there 👋

📖 About ME

  • 💼 ML enthousiast continiously conducting research about their applications

  • 📫 [email protected]

⬆ Research Interest

  • 1️⃣ Deep learning for time series.
  • 2️⃣ Anomaly detection in human behavior.
  • 3️⃣ ML applications in wearable devices and smart homes.
  • 4️⃣ Smart cities and digital twins

bhafsa's Projects

sl_klagenfurt_2019 icon sl_klagenfurt_2019

Statistical Learning class at Alpen-Adria-Universität Klagenfurt summer semester 2019 given by Prof. Dr. Härdle.

sl_klagenfurt_2020 icon sl_klagenfurt_2020

Statistical Learning class at Alpen-Adria-Universität Klagenfurt winter semester 2020 given by Prof. Dr. Härdle.

stay-point-detection icon stay-point-detection

All materials you need for stay point detection and trajectory analysis: blogs, videos, papers, and softwares, etc.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-in-practice icon tensorflow-in-practice

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time S

tfjs icon tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.

tiramisu icon tiramisu

A compiler for expressing fast, portable and composable data parallel computations

torchbench icon torchbench

Easily benchmark machine learning models in PyTorch

transformer icon transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tutorials icon tutorials

Tutorials for creating figures, tables, or other content for AAS Journals.

xxhash icon xxhash

a super-fast hash algorithm in a single C++ header

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