AhmedImtiazPrio / grok-adversarialLinks
Deep Networks Grok All the Time and Here is Why
☆37Updated last year
Alternatives and similar repositories for grok-adversarial
Users that are interested in grok-adversarial are comparing it to the libraries listed below
Sorting:
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆58Updated last year
- ☆52Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 9 months ago
- The Energy Transformer block, in JAX☆58Updated last year
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆68Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- ☆34Updated last year
- Generative Equilibrium Transformer☆25Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 9 months ago
- Code for the paper "Function-Space Learning Rates"☆23Updated 4 months ago
- NF-Layers for constructing neural functionals.☆90Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆35Updated 3 years ago
- Transformers with doubly stochastic attention☆49Updated 3 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆37Updated last year
- ☆33Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆44Updated last year
- Neural Diffusion Processes☆81Updated last year
- ☆33Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- Neural Optimal Transport with Lagrangian Costs☆59Updated 5 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago
- Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)☆57Updated last year