Johswald / awesome-hypernetworksLinks
☆65Updated 3 years ago
Alternatives and similar repositories for awesome-hypernetworks
Users that are interested in awesome-hypernetworks are comparing it to the libraries listed below
Sorting:
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- NF-Layers for constructing neural functionals.☆91Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- Codebase for Mechanistic Mode Connectivity☆14Updated 2 years ago
- Deep Learning & Information Bottleneck☆62Updated 2 years ago
- ☆72Updated 11 months ago
- Simple illustrative examples for energy-based models in PyTorch☆67Updated 5 years ago
- Crawl & Visualize ICLR 2023 Data from OpenReview☆85Updated 2 years ago
- Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…☆63Updated 2 years ago
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆56Updated 11 months ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆105Updated last month
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Beyond Straight-Through☆103Updated 2 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆28Updated 4 years ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆37Updated last year
- Rational Activation Functions - Replacing Padé Activation Units☆102Updated 8 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Parallelizing non-linear sequential models over the sequence length☆55Updated 4 months ago
- ☆33Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- ☆56Updated last year
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆89Updated 4 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆114Updated 2 years ago
- ☆34Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Modern Fixed Point Systems using Pytorch☆122Updated 2 years ago