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algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

awesome-active-learning

Hope you can find everything you need about active learning in this repository.

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

backdoor-learning-resources

A curated list of backdoor learning resources

commpy

Digital Communication with Python

ddpp

The implementation of the paper: Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference

deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

deepdih

deepflow

Abnormal Traffic Flow Detection with Siamese Networks

des-64bit-encryption-and-decryption

Encryption

dh-gan

The code for the paper: DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography

dppy

Python toolbox for sampling Determinantal Point Processes

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fedlab-benchmarks

Standard federated learning implementations in FedLab and FL benchmarks.

flame_2_dataset

the codes are for the series CNN baselines tested in our wildfile flame detection dataset.

homepage

incident-gnn-cp

The official code for the paper: Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis

inf502

inf502-fall2020

inf638-poject

NAU INF638 ENCRYPTION PROJECTS

interaction-dataset

Interaction Dataset Python Scripts

introduction-to-the-theory-of-computation-solutions

Solutions to Michael Sipser's Introduction to the Theory of Computation Book (3rd Edition).

inverse-reinforcement-learning

Implementations of selected inverse reinforcement learning algorithms.

k-medoid

lecam-gan

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

loss-landscape

Code for visualizing the loss landscape of neural nets

lwe-on-rsa-copro

Proof of concept code for running RLWE schemes on long integer multiplier co-processors

matrix-factorization-recommender-systems-netflix-paper-implementation

Implementation of the Matrix Factorization Recommender System from the Netflix Paper

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

network-level-safety-metrics

Some codes to extract network-level metrics for the paper: "Network-level safety metrics for overall traffic safety assessment: A case study"