tolgaergen / convex_nn
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for convex_nn
- ☆14Updated last year
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆12Updated 9 months ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆54Updated 2 years ago
- Official repo for FunkNN: Neural Interpolation for Functional Generation☆10Updated last year
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆50Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 8 months ago
- ☆67Updated last year
- This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).☆42Updated last month
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆82Updated 2 years ago
- Learning ReLU INRs with B-spline wavelets.☆11Updated 5 months ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆90Updated 3 years ago
- ☆74Updated 3 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆50Updated last year
- Mirror Diffusion Models, NeurIPS 2023☆29Updated 11 months ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆134Updated 2 years ago
- ☆21Updated 2 years ago
- ☆32Updated 2 years ago
- ☆11Updated 10 months ago
- ☆37Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆34Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- Modular and intuitive Hypernetworks in Pytorch☆32Updated 11 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆22Updated 11 months ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆84Updated 4 years ago
- [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…☆50Updated last year
- ☆72Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆18Updated 2 years ago
- Modern Fixed Point Systems using Pytorch☆82Updated last year
- Score-based generative models for compact manifolds☆103Updated 10 months ago