110 Open source projects that are alternatives of or similar to SPAN

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

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.

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

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

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

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

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[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

PyTorch Implementation for Neural Graph Collaborative Filtering

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

Pytorch implementation of the Loc2Vec with some modifications for speed

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

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

Elastic APM agent for Mule 3.x

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

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 length-controllable and non-autoregressive image captioning model.

Reproduce some methods in semi-supervised papers.

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.

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

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

Implement of Dynamic Model Pruning with Feedback with pytorch

A clean and lucid implementation of cycleGAN using PyTorch

Official PyTorch implementation of DM-Font (ECCV 2020)

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

The implementation of 3D-UNet using PyTorch

Source code for our "TitleStylist" paper at ACL 2020

The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes

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

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.

Awesome Pytorch Tutorials

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

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

PyTorch implementation of EfficientNetV2 family

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

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

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

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

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AdaSpeech: Adaptive Text to Speech for Custom Voice

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[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"

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

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

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.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

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

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

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

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

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

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

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

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

Implementation of "Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision" (ECCV 2020).

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm