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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

aaai2021-260

The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"

abigsurvey

A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

adversarial-attack-papers

adversarial-attacks-pytorch

PyTorch implementations of Adversarial attacks and utils.

adversarial-distributional-training

Adversarial Distributional Training (NeurIPS 2020)

adversarial-example-papers

Must-read papers on Adversarial example

adversarial-examples-reading-list

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

adversarial-learning-literature

adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

adversarial_examples

Code for the NIPS2017 competition on adversarial examples

adversarialautoencoder

Implementation of an Adversarial Autoencoder

advex_tutorial

ali

Adversarially Learned Inference

andrew_tensorpack

Neural Network Toolbox on TensorFlow

arxausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-causal-inference

A curated list of awesome Causal Inference resources

awesome-causalinference

A curated list of Causal Inference tutorial, software, twitter, etc.

awesome-causality

Resources related to causality

awesome-collections

Collections of all awesome thing!

awesome-deep-causal-learning

A curated list of awesome deep causal learning methods

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

awesome-vqa-latest

Visual Question Answering Paper List.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

binglingtao

blackbox-bandits

Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

c-rnn-gan

Implementation of C-RNN-GAN.