661 Open source projects that are alternatives of or similar to Gat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

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

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

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

Predict materials properties using only the composition information!

A Tensorfflow implementation of Attend, Infer, Repeat

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Python Adaptive Signal Processing

Probabilistic time series modeling in Python

Deep-Learning based CTR models implemented by PyTorch

Scalable Implementation of Deep CFR and Single Deep CFR

Attention-guided CNN for image denoising(Neural Networks,2020)

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Various CNN models for CIFAR10 with Chainer

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Machine Learning inference engine for Microcontrollers and Embedded devices

Julia port of the Python autograd package.

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Frame-Recurrent Video Super-Resolution (official repository)

A collection of common algorithms and data structures implemented in java, c++, and python.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Pytorch implementation of Block Neural Autoregressive Flow

Hierarchical Attentive Recurrent Tracking

Code for reproducing Flow ++ experiments

Chinese Poetry Generation

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Fully featured implementation of Routing Transformer

Unity Machine Learning Agents Toolkit

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Deep Learning for Julia

Computational Cognitive Neuroscience, Fourth Edition

Avalanche: a End-to-End Library for Continual Learning.

Machine Learning for High Energy Physics.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

RObust document image BINarization

A tool for automatic phoneme transcription

Important paper implementations for Question Answering using PyTorch

machine learning and deep learning tutorials, articles and other resources

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration