titu1994 / simple_diffusion
Simple notebooks to learn diffusion models on toy datasets
☆17Updated last year
Alternatives and similar repositories for simple_diffusion:
Users that are interested in simple_diffusion are comparing it to the libraries listed below
- Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups☆36Updated 3 years ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Updated 3 years ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated last year
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆50Updated 2 years ago
- Directed masked autoencoders☆14Updated last year
- A PyTorch Dataset that caches samples in shared memory, accessible globally to all processes☆20Updated 2 years ago
- Implementation of LogAvgExp for Pytorch☆32Updated 2 years ago
- Official code for the paper "Image generation with shortest path diffusion" accepted at ICML 2023.☆22Updated last year
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper☆33Updated last year
- ☆44Updated 8 months ago
- ☆21Updated 3 years ago
- ☆8Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 9 months ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆31Updated 2 years ago
- A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)☆21Updated 11 months ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 3 months ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆15Updated 3 years ago
- Official implementation of OSSGAN [CVPR 2022]☆21Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆56Updated 2 years ago
- Hacks for PyTorch☆18Updated last year