rushilanirudh

rushilanirudh's Stars

• wustl-cig/DOLCE

  DOLCE, ICCV2023. Pytorch Implementation.

  Language:C++418

• Jingkang50/OpenOOD

  Benchmarking Generalized Out-of-Distribution Detection

  Language:Python906116

• j-cb/NINCO

  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"

  Language:Jupyter Notebook24

• YyzHarry/SubpopBench

  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

  Language:Python10213

• glhr/beyond-AUROC

  official code repository for the paper "Beyond AUROC & co. for evaluating out-of-distribution detection performance"

  Language:Jupyter Notebook5

• lucidrains/vector-quantize-pytorch

  Vector (and Scalar) Quantization, in Pytorch

  Language:Python2.8k225

• cvxgrp/pymde

  Minimum-distortion embedding with PyTorch

  Language:Python54027

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.9k1.2k

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook80789

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.6k1.1k

• archinetai/audio-diffusion-pytorch

  Audio generation using diffusion models, in PyTorch.

  Language:Python2k168

• HazyResearch/HoroPCA

  Hyperbolic PCA via Horospherical Projections

  Language:Python6911

• arpitbansal297/Cold-Diffusion-Models

  Official implementation of Cold-Diffusion for different transformations in pytorch.

  Language:Python1k82

• tejas-gokhale/ALT

  Language:Python124

• st--/annotate-equations

  LaTeX package and annotated examples for annotating equations using TikZ.

  Language:TeX48418

• ratschlab/repulsive_ensembles

  Repo for our paper "Repulsive deep ensembles are Bayesian"

  Language:Jupyter Notebook199

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.5k205

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  3.1k520

• gwang-kim/DiffusionCLIP

  [CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

  Language:Python817118

• ispamm/realnvp-demo-pytorch

  Language:Jupyter Notebook2711

• didriknielsen/survae_flows

  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

  Language:Python28535

• EmoryMLIP/OT-Flow

  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104

  Language:Python5016

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.5k1.2k

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24.1k4.6k

• locuslab/convmixer

  Implementation of ConvMixer for "Patches Are All You Need? 🤷"

  Language:Python1.1k102

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k179

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.3k3.1k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.8k4.8k

• dusty-nv/pytorch-classification

  Training of image classification models with PyTorch

  Language:Python2926

• karasawatakumi/monodepth-dev

  Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.

  Language:Python185