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-par-word2vec

parallelizing word2vec

adversarial

Creating and defending against adversarial examples

adversarial-examples-for-machine-learning

Summaries and few implementations of adversarial examples

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

adversarial.js

Break neural networks in your browser 🦹‍♂️

aistats2024

May 2 - May 4, Valencia, Spain

alibi

Algorithms for monitoring and explaining machine learning models

amr-guidelines

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

autograd

Efficiently computes derivatives of numpy code.

average-word2vec

🔤 calculate average word embeddings (word2vec) from documents for transfer learning

awesome-adversarial-deep-learning

A list of awesome resources for adversarial attack and defense method in deep learning

awesome-adversarial-examples-dl

A curated list of awesome resources for adversarial examples in deep learning

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

awesome-testing-courses

A curated list of awesome online courses and tutorials on software testing, test automation and more...

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianquicknat

Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-sentence-similarity-pytorch

This repo contains a PyTorch implementation of a pretrained BERT model for sentence similarity task.

biosentvec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

biowordvec

book

A textbook on informal homotopy type theory

brain-mri-segmentation

brain-segmentation

Brain Segmentation on MRBrains18