r-isachenko / 2020-DGM-MIPT-courseLinks
☆11Updated 4 years ago
Alternatives and similar repositories for 2020-DGM-MIPT-course
Users that are interested in 2020-DGM-MIPT-course are comparing it to the libraries listed below
Sorting:
- Deep Generative Models course, 2021☆22Updated 3 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- NLA 2018 Skoltech course☆55Updated 6 years ago
- My repo for training neural nets using pytorch-lightning and hydra☆222Updated 7 months ago
- Deep Generative Models Course☆126Updated this week
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Updated 3 years ago
- All about the fundamentals and working of Diffusion Models☆159Updated 2 years ago
- Deep Generative Models course, 2022-2023☆66Updated 2 years ago
- Theoretical Deep Learning: generalization ability☆46Updated 5 years ago
- Single-line inference of SOTA deep learning models☆29Updated 2 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- ☆16Updated last year
- Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"☆196Updated 3 years ago
- Take control back!☆18Updated 3 years ago
- Unofficial implementation of Perceiver IO☆128Updated 3 years ago
- Compression schema for gradients of activations in backward pass☆44Updated 2 years ago
- Course "Theories of Deep Learning"☆195Updated 5 years ago
- Deep Learning with Catalyst☆300Updated 4 years ago
- ☆26Updated 4 years ago
- ☆16Updated 5 years ago
- Deep Generative Models course, AIMasters, 2022☆46Updated 2 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 3 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆217Updated 4 years ago
- RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).☆35Updated 3 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- A library helping to gather stats and run checks during training deep learning models with Pytorch☆35Updated 3 years ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 6 months ago