GitHub - catalyst-team/dl-course: Deep Learning with Catalyst

Abstraction: Open-source deep learning course using PyTorch and Catalyst framework

Key points:

• 13-week open course by Deep Learning School, Tinkoff, and Catalyst team; Colab notebooks for each week
• Topics: backpropagation, optimization (week 1), regularization + PyTorch (week 2), CNNs / ResNet (week 3), object detection + segmentation U-Net/FPN (week 4), metric learning / ArcFace (week 5)
• Later weeks: autoencoders/VAE (week 6), GANs (week 7), NLP/RNN/LSTM (week 8), attention + Transformer (week 9), pretrained BERT/GPT (week 10), recommender systems / FunkSVD (week 11), RL for RecSys (week 12)
• Install: pip install catalyst==21.04.2 torch==1.8.0; Python 3.7 conda environment
• Lectures and seminar notebooks in ./week; homework in ./homework folders

Connections: Catalyst Team · Deep Learning · Transformers · Neural Networks

Source: https://github.com/catalyst-team/dl-course