84 Open source projects that are alternatives of or similar to saliency

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

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

Source code for our "TitleStylist" paper at ACL 2020

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Pytorch implementation of the Loc2Vec with some modifications for speed

Metrics for model evaluation in pytorch

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

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

AdaSpeech: Adaptive Text to Speech for Custom Voice

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

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

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

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

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

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

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

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

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

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

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

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

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

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

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

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.

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

VNet for 3d volume segmentation

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

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

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

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

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

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

STRAL-Net

PyTorch implementation of EfficientNetV2 family

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

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Keyphrase Generation

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

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

Implement of Dynamic Model Pruning with Feedback with pytorch

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

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

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

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

Awesome Pytorch Tutorials

experimenting with differentiable models of morphogenesis 🔬 🦠

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

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

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

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

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

Semantics-guided Part Attention Network (ECCV 2020 Oral)