86 Open source projects that are alternatives of or similar to cosine-ood-detector

experimenting with differentiable models of morphogenesis 🔬 🦠

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

[CVPR2020] Adversarial Latent Autoencoders

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

A clean and lucid implementation of cycleGAN using PyTorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Standard federated learning implementations in FedLab and FL benchmarks.

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

PyTorch Implementation for Neural Graph Collaborative Filtering

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Vision Transformer for 3D medical image registration (Pytorch).

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

Learning low-shot object classification with explicit shape bias learned from point clouds

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

"Self-training with Noisy Student improves ImageNet classification" pytorch implementation

Papers for Open Knowledge Discovery

Metrics for model evaluation in pytorch

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Photometric optimization code for creating the FLAME texture space and other applications

A PyTorch Implementation of Convolutional Conditional Neural Process.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

A Collection of Variational Autoencoders (VAE) in PyTorch.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Keyphrase Generation

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Semantics-guided Part Attention Network (ECCV 2020 Oral)

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

AdaSpeech: Adaptive Text to Speech for Custom Voice

[UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

The implementation of 3D-UNet using PyTorch

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Reproduce some methods in semi-supervised papers.

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

🔥 OpenPose api wrapper in PyTorch.

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'