ejmichaud / grokking-squared
☆25Updated 2 years ago
Alternatives and similar repositories for grokking-squared:
Users that are interested in grokking-squared are comparing it to the libraries listed below
- The Energy Transformer block, in JAX☆57Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆78Updated 2 years ago
- ☆31Updated 6 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆36Updated 2 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆55Updated 2 years ago
- A centralized place for deep thinking code and experiments☆82Updated last year
- ☆52Updated 6 months ago
- Implementation of OpenAI's 'Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets' paper.☆36Updated last year
- ☆67Updated 4 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 3 years ago
- ☆53Updated 8 months ago
- ☆49Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- ☆16Updated 7 months ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆18Updated last year
- ☆49Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Parallelizing non-linear sequential models over the sequence length☆51Updated 2 months ago
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆21Updated last year
- ☆34Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago