ml-research / self-expanding-neural-networksLinks
Self-Expanding Neural Networks
☆39Updated last year
Alternatives and similar repositories for self-expanding-neural-networks
Users that are interested in self-expanding-neural-networks are comparing it to the libraries listed below
Sorting:
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆12Updated 2 years ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 10 months ago
- Induce brain-like topographic structure in your neural networks☆62Updated 2 weeks ago
- The official repository for HyperZ⋅Z⋅W Operator Connects Slow-Fast Networks for Full Context Interaction.☆38Updated 2 months ago
- ☆92Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- Parallelizing non-linear sequential models over the sequence length☆52Updated 5 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated 11 months ago
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 5 months ago
- ☆53Updated 8 months ago
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 4 years ago
- DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)☆28Updated 2 months ago
- ☆32Updated 8 months ago
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆28Updated 8 months ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated last month
- Concept Learning Dynamics☆14Updated 7 months ago
- Here we will test various linear attention designs.☆59Updated last year
- [ICLR 2024] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year
- Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆67Updated 11 months ago
- ☆51Updated last year
- Explorations with Geoffrey Hinton's Forward Forward algoithm☆33Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- ☆66Updated 8 months ago
- Official code for the paper "Attention as a Hypernetwork"☆39Updated last year
- ☆58Updated 8 months ago
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated last month
- ☆39Updated 3 years ago
- ☆51Updated last year
- ☆32Updated last year