averysi224

averysi224's Stars

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.4k963411.5k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.7k26746926

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.9k33290987

• CamDavidsonPilon/lifelines

  Survival analysis in Python

  Language:Python2.3k69964553

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k2724303

• yang-song/score_sde_pytorch

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

  Language:Jupyter Notebook1.7k1657305

• camenduru/text-to-video-synthesis-colab

  Text To Video Synthesis Colab

  Language:Jupyter Notebook1.4k2224172

• lucidrains/video-diffusion-pytorch

  Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

  Language:Python1.2k2835122

• gpleiss/temperature_scaling

  A simple way to calibrate your neural network.

  Language:Python1.1k1035159

• marcotcr/lime-experiments

  Code for all experiments.

  Language:Python305201097

• kwonminki/Asyrp_official

  official repo for Asyrp : Diffusion Models already have a Semantic Latent Space (ICLR2023)

  Language:Python24351820

• yromano/cqr

  Conformalized Quantile Regression

  Language:Jupyter Notebook2378646

• nrokh/ScientificFigures

  A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters

  Language:TeX153516

• ethanjperez/true_few_shot

  Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)

  Language:Python1422112

• harryjo97/GDSS

  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

  Language:Python13922322

• MichaelClerx/making-figures

  Tips on figure making, plus help with Inkscape and Matplotlib.

  Language:Jupyter Notebook44181

• msesia/conditional-conformal-pvalues

  Conditional calibration of conformal p-values for outlier detection.

  Language:Python33101

• AlvinWen428/FeatureCP

  The official codebase for Predictive Inference with Feature Conformal Prediction

  Language:Python32348

• lanl/Blackout-Diffusion

  Language:Jupyter Notebook28625

• uw-biomedical-ml/uwhvf

  Open source dataset of more than 25 thousand Humphrey Visual Fields (HVF) from routine clinical care

  18704

• ievans/GaussianElimination

  gaussian elimination python code

  Language:Python13406

• msesia/cqr-comparison

  A comparison of some conformal quantile regression methods.

  Language:Python12201

• mohaEs/PyVisualField

  Language:Jupyter Notebook10203

• averysi224/pac-ps-label-shift

  Language:Python41

• zhimeir/cfsurv_paper

  Language:R4103

• AI4VSLab/GP-Detection-VF-Prediction

  AI for GP Detection, VF Prediction, and Robust Performance on Minority Populations

  Language:Jupyter Notebook2

• MREYE-LUMC/VFPy

  Visual field processing

  Language:Python2010

• ophthal-cdm/VF

  Humphrey Visual Field

  Language:Python1

• Robbyx1/VF-vae

  This repository applys a Variational Autoencoder model (based on pytorch example) to analyze and predict Humphrey Visual Field (HVF) data, crucial for glaucoma detection and monitoring. The VAE models the HVF data distribution, aiding in identifying glaucomatous patterns and generating synthetic HVF data for advanced research and testing.

  Language:Python1100

• zhimeir/adaptive_conformal_survival_paper

  This repository contains the code to reproduce the simulation results from the paper: Conformalized Survival Analysis with Adaptive Cutoffs.

  Language:R11