Since 2016, LauzHack has organized hackathons at EPFL in Lausanne, Switzerland. We also organize tech talks during the school year.
This is a repository for our Deep Learning Bootcamp (Summer 2025 Edition). For previous editions, see Previous Editions section.
- day01 Introduction to Deep Learning and PyTorch
- Lecture: Introduction to bootcamp and Deep Learning
- Seminar: Introduction to
pytorch
- day02 Basic Model Architectures
- Lecture: Fully-connected and Convolutional Neural Networks, ResNet
- Seminar: Models in
pytorch
and training pipeline
- day03 Recurrent Neural Networks and Normalization
- Lecture: Recurrent Neural Networks, BatchNorm, LayerNorm
- Seminar: RNN, LSTM, GRU example
- day04 Transformer
- Lecture: Transformer
- Seminar: Implementation of Transformer in
pytorch
Bootcamp materials and teaching were delivered by:
- Petr Grinberg
- Seyed Parsa Neshaei
- Badr AlKhamissi
- Mingchi (Alina) Hou
- Eric Bezzam (Previously)
- Ali Hariri (Previously)
- Nikita Durasov (Previously)
- Federico Stella (Previously)
- Atli Kosson (Previously)
- Cristian Cioflan (Previously)
- Skander Moalla (Previously)
- Vinitra Swamy (Previously)