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advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

adversarial-robustness-toolbox

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

adversarialattacks

ai-safety-gridworlds

This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

alpha-

arc

Code for the paper titled "Adversarial Vulnerability of Randomized Ensembles" (ICML 2022).

awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

awesome-exploration-rl

A curated list of awesome exploration RL resources (continually updated)

awesome-graph-causal-learning

A list of Graph Causal Learning materials.

awesome-graph-transformer

Papers about graph transformers.

barre

Code for the paper titled "On the Robustness of Randomized Ensembles to Adversarial Perturbations" (ICML 2023).

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

beyond_deep_ensembles

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

bigdata-notes

大数据入门指南 :star:

cfn

Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023

corl

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

d3rlpy

An offline deep reinforcement learning library

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep_rl_zoo

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

divdis

dverge

Pytorch implementation of our NeurIPS'20 *Oral* paper "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles".

edac

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

ens-div-ood-detect

ev-ecosim

EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of EV Charging Infrastructure. Link to publication: https://doi.org/10.1109/TSG.2023.3339374

exploring_the_limits_of_ood_detection

Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanislav Fort, Jie Ren, Balaji Lakshminarayanan, published at NeurIPS 2021.

geom-gcn

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