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465

465 example scripts

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-examples-pytorch

Implementation of Papers on Adversarial Examples

agi

Research code & algorithms for artificial general intelligence.

ait-qkd

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

anygpt

Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

autograd

Efficiently computes derivatives of numpy code.

avalanche

Avalanche: a End-to-End Library for Continual Learning

avast-ctu-cape-dataset

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-causality-algorithms

An index of algorithms for learning causality with data

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-cybersecurity-datasets

A curated list of amazingly awesome Cybersecurity datasets

awesome-incremental-learning

Awesome Incremental Learning

awesome-llm-cybersecurity-tools

A curated list of large language model tools for cybersecurity research.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

az

Downloads apks from androzoo repository https://androzoo.uni.lu/

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bert_binary_text_classification

Accompanying code for the Medium article

brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

cade

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

capsnet-visualization

🎆 A visualization of the CapsNet layers to better understand how it works

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

ciphershed

Main CipherShed Development

cl_examples_tutorials

Continual Learning tutorials and demo running on Google Colaboratory.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

click-ns3

The Click modular router: fast modular packet processing and analysis (for NS-3)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.