tae898 / vae-diffusionLinks
☆31Updated last week
Alternatives and similar repositories for vae-diffusion
Users that are interested in vae-diffusion are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago
- We study toy models of skill learning.☆28Updated 5 months ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆96Updated this week
- Building GPT ...☆18Updated 6 months ago
- ☆55Updated 7 months ago
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated last year
- Official implementation for "Targeted Cause Discovery with Data-Driven Learning"☆23Updated 9 months ago
- ☆81Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆119Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 3 months ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- ☆27Updated last year
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. TMLR 2025.☆78Updated last month
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆64Updated 9 months ago
- Library to make any existing neural network architecture equivariant☆53Updated 7 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated last year
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆63Updated 2 months ago
- The Forward-Forward Algorithm for Drug Discovery☆34Updated 2 years ago
- A repository to house some personal attempts to beat some state-of-the-art for medical datasets☆99Updated last year
- Awesome Mamba Papers: A Curated Collection of Research Papers , Tutorials & Blogs☆25Updated last year
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆59Updated 7 months ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆99Updated last month
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated last month
- Video descriptions of research papers relating to foundation models and scaling☆31Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆40Updated 8 months ago
- A simple example of VAEs with KANs☆12Updated last year
- ☆31Updated last year
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆81Updated 11 months ago