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Freelance
- Graz, Austria
- in/philip-popien
Stars
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Latex code for making neural networks diagrams
Classifying audio utterances in Luganda and English (Zindi Data Science Challenge)
Sentiment Analysis of tweets about COVID-19
Getting familiar with CNNs: classifying pictures of clothing
Open source annotation tool for machine learning practitioners.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Building Machine Learning algorithms from scratch with NumPy (course submission for "Machine Learning" by Stanford University)
Data analysis and visualization of daily temperatures worldwide, in Europe, and in Austria
Short text-based interactive game inspired by the Harry Potter books
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
Data analysis and visualization of the Teaching and Learning International Survey (TALIS) (OECD 2018)
Submission for the Kaggle challenge "House Prices: Advanced Regression Techniques" (RandomForest for tabular data)
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
A multi-thread crawler framework with many builtin image crawlers provided.
The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.
π Geometric Computer Vision Library for Spatial AI
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (Vβ¦
1st place solution for "xView2: Assess Building Damage" challenge.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.