Building a Sign-to-Speech prototype with TensorFlow, Pytorch and DeepStack: How it happened & What I learned
Steven KolawoleComputer Vision, Neural Networks / Deep Learning
Building an E2E working prototype that detects sign language meanings in images/videos and generate equivalent voice of words communicated by the sign language, in real-time, won't be completed in a day's work. Here I'd explain how it happened and what I learned in the process.
Asya FrumkinAlgorithms, Computer Vision, Neural Networks / Deep Learning
I will explain my approach of detecting texts on top of an image background that are unreadable to people with visual impairment. I will explain the challenges I. encountered when using different OCR architectures for this task and talk about the solution I came up with.
Bettina HeinleinComputer Vision
Leveraging problem-solving strategies for challenges in building Computer Vision applications and beyond, illustrated with a recent Computer Vision project.
Janis MeyerComputer Vision, Natural Language Processing
deepdoctection is a Python package that enables document analysis pipelines to be built using deep learning models.
Antoine ToubhansBest Practice, Computer Vision, Data Engineering, Data Visualization, Development Methods, Reproducibility
Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit
Grokking LIME: How can we explain why an image classifier "knows" what’s in a photo without looking inside the model?
Kilian KlugeComputer Vision, Neural Networks / Deep Learning, Transparency / Interpretability
How can LIME explain machine-learning models without peeking inside? Let's find out!
Yunus Emrah BulutComputer Vision, Ethics (Privacy, Fairness,… ), Governance, Natural Language Processing, Neural Networks / Deep Learning, Security
Machine learning testing becomes an indispensable part of the MLOps and Python offers great ecosystem for this purpose.