Reza Zolf
ML Scientist Multimodal Learning | Generative AI
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About
Reza Zolf works in AI engineering and ML & data science, based in Germany (University of Freiburg, Zebracat AI). ML Scientist Multimodal Learning | Generative AI. Public projects on GitHub include Awesome Sols (A curated list of awesome notes, codes, libraries, courses, python, pytorch, tensorflow and other useful…), Synth Vlm Data (Synthetic Data Generation Pipeline for VLMs) and ECO-efficient-video-understanding (Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018), mostly written in Jupyter, Python and MATLAB.
Projects 6
Awesome Sols
A curated list of awesome notes, codes, libraries, courses, python, pytorch, tensorflow and other useful resources. Inspired by https://github.com/vinta/awesome-python
github.comSynth Vlm Data
Synthetic Data Generation Pipeline for VLMs
github.comECO-efficient-video-understanding
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
github.comChained Multistream Networks
Code and models of paper " Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection" in ICCV 2017
github.comKinetics700
kinetics700 dataset downloader
github.comAwesome Video Understanding
A curated list of awesome papers, frameworks, models and notes for video understanding. Inspired by https://github.com/vinta/awesome-python
github.com