2022GlobalBootcamp

Lecture material for Global Summer Bootcamp

Installation

Python or Anaconda, if you choose to use pip to install package, we recommend using virtualenv to manage your environment.

Below are the steps to setup the required packages for bootcamp's excercises.

Install by pip

pip install -r requirements.txt

Install by conda

conda create --name <env_name> --file requirements.txt python=3.6
conda activate <env_name>

Install PyTorch

PyTorch requires different command based on your environment. In this course, we will use PyTorch 1.12.0 (which is latest at the moment). You choose the command to install by accessing the following link:

https://pytorch.org/get-started/locally/

Install Docker desktop

Docker desktop already provide the docker engine and docker-compose, you may download all platform's docker-desktop in offcial website

After installation, type below command into your terminal to see if the installation is successfully done.

docker --version
docker-compose --version
'''
You should see output like this:

Docker version 18.09.2, build 6247962
docker-compose version 1.23.2, build 1110ad01
'''

Syllabus

Date	Subject
Jun 30	Bootcamp Opening Day TW&VN Mentor / Lecturer introduction Futurist of Cinnamon - Hajime’s sharing Syllabus Introduction Ice-break
Jul 5	Lean startup Lean Startup(Paul)
Jul 7	MVP project Life Cycle of ML project (Mandy)
Jul 12	Agile Software development SCRUM (Hato)
Jul 14	Agile Software development +Git Workflow (Blake)
Jul 19	Agile Software development Clean code (Vincent) SOLID (Vincent)
Jul 21	Agile Software development Docker Introduction (Jayce)
Jul 26	Data Loader (Dini) Dataset and data loader in PyTorch Efficient Training
Jul 28	Deep Learning Class (Hy) Loss Function CrossEntropy MSE TripletLoss HubertLoss
Aug 2	NLP Technical Class [1] (Dini) Missions & Metrics and Preprocessing
Aug 4	NLP Technical Class [2] (Matt) Language modelling Language models: n-gram, RNN, CNN, Transformer
Aug 9	NLP Technical Class [3] (Matt) Pre-trained models: ELMo, GPT, BERT
Aug 11	NLP Technical Class [4] (Hubert) information extraction explain real-business case and material
Aug 16	CV Technical Class [3] (Tyler) Training Tricks Stochastic Depth Warm up Label Smoothing No Bias Weight Decay Teacher-Student Knowledge Distillation Mixup Group Normalization Weight Standardization
Aug 18	CV Technical Class [1] (Jeff) ClassicCNN
Aug 23	CV Technical Class [2] (Vincent) VisionTransformers
Aug 25	Presentation (Paul)
Aug 30	Rehearsal
Sep (TBD)	Demo Day