autonomousvision / akorn
Artificial Kuramoto Oscillatory Neurons
☆51Updated this week
Alternatives and similar repositories for akorn:
Users that are interested in akorn are comparing it to the libraries listed below
- NF-Layers for constructing neural functionals.☆82Updated last year
- Code for the paper: Rotating Features for Object Discovery☆50Updated 6 months ago
- This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes …☆84Updated 2 years ago
- Modern Fixed Point Systems using Pytorch☆86Updated last year
- Comparison between GFlowNets & Maximum Entropy RL☆16Updated last year
- ☆23Updated 4 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Code for https://arxiv.org/abs/2406.04329☆58Updated 2 months ago
- Flow-matching algorithms in JAX☆83Updated 6 months ago
- Pytorch-like dataloaders for JAX.☆75Updated 4 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated last year
- The Energy Transformer block, in JAX☆56Updated last year
- ☆52Updated 4 months ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆81Updated last year
- A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!☆70Updated 2 weeks ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- ☆21Updated 2 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆122Updated last year
- ☆23Updated 6 months ago
- A State-Space Model with Rational Transfer Function Representation.☆77Updated 9 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆46Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]☆31Updated 5 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆56Updated 5 months ago
- ☆49Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- Easy Hypernetworks in Pytorch and Jax☆97Updated 2 years ago
- ☆32Updated 8 months ago