yuyang-shi / generalized-diffusion
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for generalized-diffusion
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆36Updated 5 months ago
- Implementation of papers in 101 lines of code.☆18Updated last year
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆25Updated last year
- ☆28Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆27Updated 10 months ago
- ☆21Updated 2 years ago
- ☆22Updated 4 years ago
- ☆15Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆26Updated 8 months ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Updated 2 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆22Updated 11 months ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- ☆16Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- ☆15Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 7 months ago
- Implementation of Action Matching☆36Updated last year
- Riemannian Convex Potential Maps☆68Updated last year
- ☆33Updated last year
- Convolutions and more as einsum for PyTorch☆13Updated 5 months ago
- ☆17Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆20Updated last year
- scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch☆18Updated 2 weeks ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆12Updated 2 years ago