carloscotrini / slt_script
A script for the statistical learning theory course at ETH
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for slt_script
- Visualizations of the theory behind diffusion models.☆75Updated 7 months ago
- NF-Layers for constructing neural functionals.☆75Updated 10 months ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆54Updated last year
- A Tutorial for Diffusion Models☆39Updated last year
- Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…☆51Updated last year
- ☆23Updated 2 years ago
- ☆17Updated 2 months ago
- code for "Riemannian Flow Matching on General Geometries".☆177Updated 8 months ago
- Use Jax functions in Pytorch☆228Updated last year
- ☆137Updated 2 years ago
- Code for the paper: Rotating Features for Object Discovery☆48Updated 3 months ago
- A fully differentiable set autoencoder☆17Updated 7 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆90Updated 7 months ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆236Updated last year
- Some toy examples of score matching algorithms written in PyTorch☆46Updated 2 years ago
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆45Updated 4 years ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated last year
- My lecture notes for Advance Machine Learning 2020 at ETH Zurich.☆31Updated 3 years ago
- ☆9Updated 2 years ago
- Score-based generative models for compact manifolds☆103Updated 10 months ago
- Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight☆91Updated 9 months ago
- Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…☆23Updated last month
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- ☆13Updated 7 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆76Updated 2 years ago
- PhD Thesis☆28Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆146Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated last year
- ☆23Updated last year
- ☆10Updated last year