davidbau / sidn-handbookLinks
The Structure and Interpretation of Deep Networks Handbook
☆12Updated 6 months ago
Alternatives and similar repositories for sidn-handbook
Users that are interested in sidn-handbook are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- ☆12Updated 2 years ago
- ☆41Updated 2 years ago
- Directed masked autoencoders☆14Updated 2 years ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆23Updated last year
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)☆32Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- ☆26Updated 3 years ago
- ☆18Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated 2 weeks ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆17Updated last year
- ☆17Updated 2 years ago
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 9 months ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- Code for Canonical 3D Deformable Mapping (C3DM) paper☆19Updated 3 years ago
- Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups☆36Updated 4 years ago
- The code for the paper "A Bayesian Approach to Online Planning" published in ICML 2024.☆11Updated last year
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆9Updated 4 years ago
- ☆13Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- PyTorch implementation for all methods and environments in the paper "MIMEx: Intrinsic Rewards from Masked Input Modeling"☆16Updated 2 years ago
- ☆12Updated 4 months ago
- ☆13Updated 2 months ago
- Code for Continual Learning of Control Primitives☆18Updated 4 years ago