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

An implementation of Performer, a linear attention-based transformer, in Pytorch

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Implementation of Ladder Network in PyTorch.

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Neural Machine Translation with Keras

PyTorch implementation of Adversarially Learned Inference (BiGAN).

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

all kinds of text classification models and more with deep learning

Federated Learning Library: https://fedml.ai

Action recognition using soft attention based deep recurrent neural networks

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

A state-of-the-art semi-supervised method for image recognition

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Attention mechanism for processing sequential data that considers the context for each timestamp.

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

A collection of important graph embedding, classification and representation learning papers with implementations.

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

End-to-end ASR/LM implementation with PyTorch

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Visualizing RNNs using the attention mechanism

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Deep Visual Attention Prediction (TIP18)

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

Code for Describing a Knowledge Base

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

Attention,Factorization Machine, Deep Learning, Recommender System

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Text classifier for Hierarchical Attention Networks for Document Classification

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

Fake News Detection using Deep Learning models in Tensorflow

A Structured Self-attentive Sentence Embedding

Attentive Federated Learning for Private NLM

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

🔍 Attentional interfaces in TensorFlow.

Implementation of Bottleneck Transformer in Pytorch

TensorFlow Implementation of "Show, Attend and Tell"

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks