ml-jku / hopfield-boostingLinks
☆33Updated 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:
- ☆69Updated last year
- ☆82Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated last year
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆62Updated last year
- Official implementation of MetaTree: Learning a Decision Tree Algorithm with Transformers☆115Updated last year
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆150Updated 3 months ago
- A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM☆61Updated last year
- A Python Library for Learning Non-Euclidean Representations☆68Updated 5 months ago
- Sparse and discrete interpretability tool for neural networks☆64Updated last year
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated 2 years ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [ICLR 2025]☆26Updated 3 months ago
- Code repository for Black Mamba☆261Updated last year
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆124Updated 6 months ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆91Updated 2 years ago
- Official implementation of "Fourier Head: Helping Large Language Models Learn Complex Probability Distributions" (ICLR 2025)☆67Updated 9 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- Implementation of MambaFormer in Pytorch ++ Zeta from the paper: "Can Mamba Learn How to Learn? A Comparative Study on In-Context Learnin…☆21Updated this week
- ☆62Updated last year
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- ☆56Updated last year
- Understanding how features learned by neural networks evolve throughout training☆41Updated last year
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 10 months ago
- Repository for code used in the xVal paper☆147Updated last year
- ☆37Updated 2 months ago
- Evaluating the Mamba architecture on the Othello game☆49Updated last year
- Evaluation of neuro-symbolic engines☆41Updated last year
- Getting crystal-like representations with harmonic loss☆195Updated 9 months ago
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆125Updated this week
- σ-GPT: A New Approach to Autoregressive Models☆70Updated last year
- ☆164Updated last year