r-isachenko / 2022-2023-DGM-AIMasters-courseLinks
Deep Generative Models course, AIMasters, 2022
☆46Updated 2 years ago
Alternatives and similar repositories for 2022-2023-DGM-AIMasters-course
Users that are interested in 2022-2023-DGM-AIMasters-course are comparing it to the libraries listed below
Sorting:
- Deep Generative Models course, 2022-2023☆67Updated 2 years ago
- Deep Generative Models course, 2023☆56Updated last year
- Skoltech NLA 2024 course.☆32Updated 9 months ago
- Deep learning @ Skoltech @ 2023☆60Updated 2 years ago
- Deep Generative Models Course☆123Updated 4 months ago
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆27Updated 6 months ago
- Skoltech Numerical Linear Course Edition 2022☆46Updated 2 years ago
- hse_ts_course☆32Updated 3 months ago
- Tutorial on generative models based on ordinary (ODE) and stochastic (SDE) differential equations☆45Updated last year
- [BMM 24-25] HippoTrainer: Gradient-Based Hyperparameter Optimization☆10Updated 4 months ago
- Deep Learning Course, Skoltech, 2024☆16Updated last year
- PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)☆19Updated 8 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆133Updated last year
- Deep Generative Models course, 2021☆22Updated 3 years ago
- Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface☆29Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆25Updated last year
- PyTorch implementation of "Robust Barycenter Estimation using Semi-unbalanced Neural Optimal Transport" (ICLR 2025)☆11Updated 2 months ago
- Make GNN easy to start with☆133Updated 3 months ago
- Experiments on public datasets for pytorch-lifestream library☆20Updated 9 months ago
- Skoltech 2023 NLA course☆31Updated last year
- ☆17Updated 9 months ago
- Materials for the Deep Learning 2 course at HSE AMI☆25Updated 9 months ago
- The official implementation of "Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation"☆22Updated last week
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆18Updated last year
- PyTorch Code used in 'Introduction to Deep Generative Modeling'☆52Updated 4 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆208Updated last year
- Numerical linear algebra course in Ozon masters, Fall 2020☆29Updated 4 years ago
- On Finetuning Tabular Foundation Models Paper Code☆21Updated 2 weeks ago
- Framework for autonomous learning of explainable graph neural networks☆34Updated 7 months ago
- Code repository for Trajectory Flow Matching☆82Updated 10 months ago