- ONERA, Palaiseau
- France (Paris)
- www.linkedin.com/in/valentingoldite
- in/valentingoldite
I hope you will find projects that interest you!
My name isValentin Goldité and I am a frenchDeep Learning engineer passionate by deep learning and specialized in the field ofcomputer vision (2D and 3D). I am interested on all the different aspects of deep learning, in every domains and both in the mathematical theory and the practical applications.
My curriculum:
Student atCentraleSupélec 👨🎓: top 3 french Engineer School (Deep Learning lessons and many more) -3 years
Maths Vision Apprentissage (MVA) master atEcole Normale Supérieure Paris Saclay 👨🎓: one of the most renowned masters in europe for machine learning -1 year
Deep Learning engineer atSysnav Navigation 🧭: time series prediction in real time in embedded device -6 months
Deep Learning engineer atReactive Reality 👨: 3D reconstruction of full head from selfie withPIFu algorithm -6 months
Deep Learning engineer atIFP Energies Nouvelles 🪨: Underground facies modeling with conditionalself-attention GAN -6 months
Computer Vision research engineer atONERA The French Aerospace Lab
✈️ : Fundamental research on multi-modal few shot object detection. Military applications as part of the KOIOS European project -now
I also did a lot of trainings for CentraleSupelec's AI organizationAutomatant about both theory and practical application. Some of these trainings are available (in french) in theAutomatant website.
Python's PEP20 introduces theZen of Python. I also developed my own mantra 🙏 for ML project:
Linux is far better than Windows for coding purposes.VSCode is more flexible than Pycharm. It exists other code editor?Virtualenv and conda have their own advantages...But Virtualenv plus VirtualenvWrapper are really more convenient than Conda.Pytorch is better than Tensorflow.When you can use Jax, you should really consider using it.Haiku over Flax over all the other nn Jax libs.Weights and Biases and ClearML are very cool. Tensorboard for sensitive cases only.Use many linters in real time when coding to write properly.Local and global tests help you to govern the world.Github Copilot too.Self and cross-attention mechanism are revolutionary ideas.Always look for existing implementations instead of reinventing the wheel.In return, contribute to open source to thank the community.
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- gan-face-editing
gan-face-editing PublicFace attribute manipulation with GAN for automatic data augmentation or individual editing.
- LeafNothingBehind
LeafNothingBehind PublicRepository of the 2023 Transfer Learning competition in partnership with World From Space. Team Antoine Aurélien Clement Valentin.
- deep-learning-installation
deep-learning-installation PublicThis tutorial provide a step-by-step pipeline to install an effective Python set-up optimized for deep learning for Ubuntu LTS, containing libraries to use efficiently the last versions of Tensorfl…
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