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.☆129Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- NF-Layers for constructing neural functionals.☆88Updated last year
- ☆70Updated 9 months ago
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆36Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆65Updated 3 years ago
- Codebase for Mechanistic Mode Connectivity☆14Updated 2 years ago
- Simple illustrative examples for energy-based models in PyTorch☆66Updated 5 years ago
- ☆55Updated last year
- Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…☆60Updated 2 years ago
- Crawl & Visualize ICLR 2023 Data from OpenReview☆84Updated 2 years ago
- ☆33Updated last year
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆342Updated 2 months ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- [NeurIPS 23' Oral] Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity☆27Updated last year
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆53Updated last year
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆56Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- Beyond Straight-Through☆102Updated 2 years ago
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆101Updated last month
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆165Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago
- Crawl & visualize ICLR papers and reviews☆110Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆152Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- ☆33Updated 2 years ago