81 Open source projects that are alternatives of or similar to ActiveSparseShifts-PyTorch

Metrics for model evaluation in pytorch

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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

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

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

🔥 OpenPose api wrapper in PyTorch.

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

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.

Keyphrase Generation

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

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

AdaSpeech: Adaptive Text to Speech for Custom Voice

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

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

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

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

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

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

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Semantics-guided Part Attention Network (ECCV 2020 Oral)

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

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

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

A clean and lucid implementation of cycleGAN using PyTorch

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

Reproduce some methods in semi-supervised papers.

Standard federated learning implementations in FedLab and FL benchmarks.

The implementation of 3D-UNet using PyTorch

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

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

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

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

experimenting with differentiable models of morphogenesis 🔬 🦠

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

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

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

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

Awesome Pytorch Tutorials

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

A PyTorch Implementation of Convolutional Conditional Neural Process.

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

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

[CVPR2020] Adversarial Latent Autoencoders

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

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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

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

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

PyTorch Implementation for Neural Graph Collaborative Filtering

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

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

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

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

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

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