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

Monthly Series - Top 10 Machine Learning Articles

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

DeepSMILES - A variant of SMILES for use in machine-learning

Message Passing Neural Networks for Molecule Property Prediction

A collection of Natural language processing pre-trained models.

darknet neural network addon for openFrameworks

Speech Recognition model based off of FAIR research paper built using Pytorch.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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 collection of Bayesian data analysis recipes using PyMC3

Books, papers and links to latest research in ML/AI

Lab Materials for MIT 6.S191: Introduction to Deep Learning

An Implementation of 'Attention is all you need' with Chinese Corpus

Sarcasm detection on tweets using neural network

Notes on Deep Reinforcement Learning for Natural Language Processing papers

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

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

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

DN2A - Digital Neural Networks Architecture

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

💫 Industrial-strength Natural Language Processing (NLP) in Python

Fake News Detection using Deep Learning models in Tensorflow

PyTorch Implementation for Deep Metric Learning Pipelines

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

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

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

Deep learning library for solving differential equations and more

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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

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

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

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.

Acceleration package for neural networks on multi-core CPUs

Implementation of Bottleneck Transformer in Pytorch

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

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

Lightweight library to build and train neural networks in Theano

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Repo for the Deep Reinforcement Learning Nanodegree program

A reproduction of growing neural cellular automata using PyTorch.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Research Framework for easy and efficient training of GANs based on Pytorch

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Pytorch implementation of Block Neural Autoregressive Flow

Aspect-Based Sentiment Analysis

Code for the Lovász-Softmax loss (CVPR 2018)

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

A single / multi layer / recurrent neural network written in Golang.

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".