Popular GitHub Repositories for Fisher Score

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A collection of resources and papers on Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

BERT score for text generation

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

"Deep Generative Modeling": Introductory Examples

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

High-fidelity performance metrics for generative models in PyTorch

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection