tae898 / vae-diffusionLinks
☆32Updated 6 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"☆121Updated 6 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year
- ☆56Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated 2 years ago
- ☆27Updated 3 months ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆149Updated 3 months ago
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆68Updated 9 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆39Updated last year
- Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".☆141Updated last month
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction☆82Updated 7 months ago
- We study toy models of skill learning.☆31Updated 11 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Updated 2 years ago
- ☆152Updated 3 months ago
- Experiment with diffusion models that you can run on your local jupyter instances☆64Updated last year
- Flash Attention Triton kernel with support for second-order derivatives☆129Updated 2 weeks ago
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆72Updated last year
- ☆82Updated last year
- Implementation of the proposed Spline-Based Transformer from Disney Research☆105Updated last year
- A practical guide to diffusion models, implemented from scratch.☆232Updated last week
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated 7 months ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆124Updated 4 months ago
- Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"☆85Updated 3 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆46Updated 2 months ago
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster☆71Updated 7 months ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆50Updated 9 months ago