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A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (2024)
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
What do we learn from inverting CLIP models?
High-Resolution Image Synthesis with Latent Diffusion Models
Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
High-Resolution Image Synthesis with Latent Diffusion Models
Generative Models by Stability AI
The official repository of the paper "On the Exploitability of Instruction Tuning".
The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
Official repo for consistency models.
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
A parallel framework for training deep neural networks
Unofficial Implementation of Consistency Models in pytorch
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
A collection of resources and papers on Diffusion Models
The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".