85 Open source projects that are alternatives of or similar to loc2vec

A PyTorch implementation of VSumPtrGAN

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

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

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

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

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

[CVPR2020] Adversarial Latent Autoencoders

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'

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

🔥 OpenPose api wrapper in PyTorch.

experimenting with differentiable models of morphogenesis 🔬 🦠

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

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

Implement of Dynamic Model Pruning with Feedback with pytorch

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

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

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

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.

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

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.

Standard federated learning implementations in FedLab and FL benchmarks.

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

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

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

The implementation of 3D-UNet using PyTorch

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

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

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

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

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

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

A PyTorch Implementation of Convolutional Conditional Neural Process.

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

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

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!

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

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

Reproduce some methods in semi-supervised papers.

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

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

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

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

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

Source code for our "TitleStylist" paper at ACL 2020

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

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

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

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.

Metrics for model evaluation in pytorch

PyTorch Implementation for Neural Graph Collaborative Filtering

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

A clean and lucid implementation of cycleGAN using PyTorch

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.

PyTorch implementation of EfficientNetV2 family

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

Awesome Pytorch Tutorials

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