cfpark00 / concept-learningLinks
Concept Learning Dynamics
☆16Updated last year
Alternatives and similar repositories for concept-learning
Users that are interested in concept-learning are comparing it to the libraries listed below
Sorting:
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- NF-Layers for constructing neural functionals.☆91Updated last year
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago
- [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction☆75Updated 5 months ago
- ☆16Updated 2 years ago
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling" (NeurIPS 2025).☆46Updated last month
- Official Jax Implementation of MD4 Masked Diffusion Models☆144Updated 8 months ago
- Generative Equilibrium Transformer☆26Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…☆108Updated 3 weeks ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆18Updated last year
- ☆38Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- ☆34Updated 7 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- Unofficial Implementation of Selective Attention Transformer☆17Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Code for the paper "Function-Space Learning Rates"☆23Updated 5 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆19Updated last year
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 3 years ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆194Updated 4 months ago
- ☆110Updated 9 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- Simple Scalable Discrete Diffusion for text in PyTorch☆37Updated last year
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆51Updated 5 months ago
- ☆12Updated last year
- Code for the paper: Rotating Features for Object Discovery☆53Updated last year
- ☆33Updated last year
- ☆61Updated last year