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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

A Tensorfflow implementation of Attend, Infer, Repeat

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 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.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Race and ethnicity Imputation from Disease history with Deep LEarning

Awesome list of software that I use to do research in medical imaging.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

Raw implementation of attention gated U-Net by Keras

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

End-To-End Molecular Dynamics (MD) Engine using PyTorch

🏖TagEditor - Annotation tool for spaCy

Automatic Differentiation Library for Computational and Mathematical Engineering

Source code of paper: (not available now)

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

A simple JavaScript neural network framework.

Distributed Deep learning with Keras & Spark

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

🚗 🏎️ 🎮 online 3D multiplayer neural networks based racing game

TensorFlow-based neural network library

brief introduction to Python for neural networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An implementation of DiscoGAN in tensorflow

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Reformer, the efficient Transformer, in Pytorch

Implementation of Knowledge Aided Consistency for Weakly Supervised Phrase Grounding in Tensorflow

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

A list of papers and other resources on deep learning with anime style images.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

📝 Подборка ресурсов по машинному обучению

Deepfakes Software For All

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Koç University deep learning framework.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Datasets, tools, and benchmarks for representation learning of code.

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

Machine learning, in numpy

Deep Learning Toolkit for Medical Image Analysis

Flexible classic and NeurAl Retrieval Toolkit

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

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

Fast and Easy Infinite Neural Networks in Python

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

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Sarcasm detection on tweets using neural network

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

🦄 State-of-the-Art Conversational AI with Transfer Learning

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