522 Open source projects that are alternatives of or similar to Gnn Meta Attack

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Machine learning and data science blog.

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

A simple GUI tool for generating adversarial poses of objects.

Memory efficient MAML using gradient checkpointing

An implementation of DiscoGAN in tensorflow

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Deep Learning over PyTorch

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

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Deep Learning Toolkit for Medical Image Analysis

Getting started with AllenNLP and PyTorch by training a tweet classifier

📝 Подборка ресурсов по машинному обучению

All DeepLearning4j projects go here.

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

🏖TagEditor - Annotation tool for spaCy

Research code need not be ugly.

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

Self-organizing maps in Go

Koç University deep learning framework.

Self driving cars using NEAT

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

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

TensorFlow-based neural network library

Arrays with arbitrarily nested named components.

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

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

brief introduction to Python for neural networks

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

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

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

A Tensorfflow implementation of Attend, Infer, Repeat

Code for the Lovász-Softmax loss (CVPR 2018)

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

A collaboratively written review paper on deep learning, genomics, and precision medicine

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

Interactive Classification for Deep Learning Interpretation

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

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

A simple JavaScript neural network framework.

An open-source platform for automating tasks using machine learning models

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Deep Neural Network Sandbox for JavaScript.

Keras implementations of Generative Adversarial Networks.

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

Minimal and clean examples of machine learning algorithms implementations

An Echo State Network module for PyTorch.

[ICLR'19] Meta-learning with differentiable closed-form solvers

Race and ethnicity Imputation from Disease history with Deep LEarning

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

A PyTorch Library for Meta-learning Research