ml-jku / hopfield-boostingLinks
☆31Updated last year
Alternatives and similar repositories for hopfield-boosting
Users that are interested in hopfield-boosting are comparing it to the libraries listed below
Sorting:
- ☆68Updated 11 months ago
- ☆81Updated last year
- A Python Library for Learning Non-Euclidean Representations☆54Updated last week
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated last month
- Evaluation of neuro-symbolic engines☆36Updated 11 months ago
- Official implementation of MetaTree: Learning a Decision Tree Algorithm with Transformers☆112Updated 10 months ago
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆59Updated 7 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 6 months ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆140Updated last month
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆101Updated 3 weeks ago
- The official repository for HyperZ⋅Z⋅W Operator Connects Slow-Fast Networks for Full Context Interaction.☆38Updated 3 months ago
- gzip Predicts Data-dependent Scaling Laws☆35Updated last year
- Implementation of Spectral State Space Models☆16Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 9 months ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆55Updated last year
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated last month
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆17Updated 3 months ago
- ☆55Updated 7 months ago
- Quantification of Uncertainty with Adversarial Models☆30Updated 2 years ago
- Understanding how features learned by neural networks evolve throughout training☆36Updated 8 months ago
- Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple r…☆86Updated this week
- ☆25Updated last month
- ☆56Updated 8 months ago
- We study toy models of skill learning.☆29Updated 5 months ago
- ☆43Updated 8 months ago
- A simple example of VAEs with KANs☆12Updated last year
- ☆39Updated last year
- ☆11Updated 4 months ago
- Official implementation for "Targeted Cause Discovery with Data-Driven Learning"☆23Updated 10 months ago