tae898 / vae-diffusionLinks
☆32Updated 2 months ago
Alternatives and similar repositories for vae-diffusion
Users that are interested in vae-diffusion are comparing it to the libraries listed below
Sorting:
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆112Updated 2 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- A simple example of VAEs with KANs☆12Updated last year
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated 3 months ago
- Code for Principal Masked Autoencoders☆29Updated 5 months ago
- ☆82Updated last year
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆146Updated 3 months ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆121Updated last month
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆66Updated 5 months ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 6 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆37Updated last year
- Implementation of Infini-Transformer in Pytorch☆111Updated 8 months ago
- ☆27Updated last year
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated last year
- ☆234Updated 3 weeks ago
- Experiment with diffusion models that you can run on your local jupyter instances☆63Updated 10 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆133Updated last year
- Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"☆64Updated 2 weeks ago
- ☆56Updated 9 months ago
- ☆20Updated 5 months ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆19Updated last year
- Library to make any existing neural network architecture equivariant☆54Updated 10 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- Code repository for Trajectory Flow Matching☆82Updated 10 months ago
- ☆150Updated last year
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆70Updated 4 months ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆68Updated last year