RobertCsordas / onion_representationsLinks
☆11Updated last year
Alternatives and similar repositories for onion_representations
Users that are interested in onion_representations are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- ☆104Updated 6 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- ☆16Updated 2 years ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆38Updated 2 years ago
- A centralized place for deep thinking code and experiments☆86Updated 2 years ago
- ☆21Updated 9 months ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- ☆27Updated 2 years ago
- ☆70Updated 8 months ago
- ☆60Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- NF-Layers for constructing neural functionals.☆88Updated last year
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- ☆52Updated last year
- ☆33Updated 2 years ago
- ☆34Updated 5 months ago
- ☆40Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆24Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated 11 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆19Updated 3 years ago