316 Open source projects that are alternatives of or similar to DualStudent

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Reproduce some methods in semi-supervised papers.

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

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

Semisupervided LDA for theory-driven text analysis

Adapt Transformer-based language models to new text domains

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

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

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

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

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

VNet for 3d volume segmentation

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

Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/1807.11407)

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

Invariant representation learning from imaging and spectral data

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

Pytorch implementation of the Loc2Vec with some modifications for speed

Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]

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

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

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 EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

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

PyTorch implementation of EfficientNetV2 family

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

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

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

AdaSpeech: Adaptive Text to Speech for Custom Voice

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.

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

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.

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

supervised and semi-supervised image classification with self-supervision (Keras)

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

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

PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

Implement of Dynamic Model Pruning with Feedback with pytorch

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

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

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

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

TensorFlow implementation for "Guided Optical Flow Learning"

Source code for our "TitleStylist" paper at ACL 2020

Unofficial pytorch implementation of algorithms for domain adaptation

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Awesome Pytorch Tutorials

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Semantics-guided Part Attention Network (ECCV 2020 Oral)

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