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Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you
Hope you can find everything you need about active learning in this repository.
A curated list of resources for Learning with Noisy Labels
A curated list of backdoor learning resources
Digital Communication with Python
The implementation of the paper: Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
An implementation of the state-of-the-art Deep Active Learning algorithms
Abnormal Traffic Flow Detection with Siamese Networks
Encryption
The code for the paper: DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography
Python toolbox for sampling Determinantal Point Processes
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Standard federated learning implementations in FedLab and FL benchmarks.
the codes are for the series CNN baselines tested in our wildfile flame detection dataset.
The official code for the paper: Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
NAU INF638 ENCRYPTION PROJECTS
Interaction Dataset Python Scripts
Solutions to Michael Sipser's Introduction to the Theory of Computation Book (3rd Edition).
Implementations of selected inverse reinforcement learning algorithms.
Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Code for visualizing the loss landscape of neural nets
Proof of concept code for running RLWE schemes on long integer multiplier co-processors
Implementation of the Matrix Factorization Recommender System from the Netflix Paper
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Some codes to extract network-level metrics for the paper: "Network-level safety metrics for overall traffic safety assessment: A case study"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.