331 Open source projects that are alternatives of or similar to Deepaffinity

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

A Tensorfflow implementation of Attend, Infer, Repeat

Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

Semi-supervised GAN in "Improved Techniques for Training GANs"

Tensorflow implementation of Adversarial Autoencoders

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

A curated collection of adversarial attack and defense on graph data.

VOSK Speech Recognition Toolkit

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

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

Unsupervised Data Augmentation (UDA)

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Code for reproducing ICT ( published in IJCAI 2019)

speech to text with self-supervised learning based on wav2vec 2.0 framework

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Pytorch implementation of Virtual Adversarial Training

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"