Name: Min
Type: User
occlum
Occlum is a memory-safe, multi-process library OS for Intel SGX
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
oh-my-zsh
A delightful community-driven (with 1,100+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
omniglot
Omniglot data set for one-shot learning
one-env
The one deep learning docker environment to rule them all.
ood-attacks
Attacks using out-of-distribution adversarial examples
open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
openenclave
SDK for developing enclaves
openprompt
An Open-Source Framework for Prompt-Learning.
optee_os
Trusted side of the TEE
optuna
A hyperparameter optimization framework
os_course_info
os course info
pa-gnn
Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".
papers-1
Summaries of machine learning papers
pgl
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
plotneuralnet
Latex code for making neural networks diagrams
pneumonia-diagnosis-using-xrays-96-percent-recall
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
poisoning-benchmark
A unified benchmark problem for data poisoning attacks
powerful-gnns
How Powerful are Graph Neural Networks?
ppo-for-beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
practicalai
A practical approach to learning machine learning.
practicalai-cn
AI实战-practicalAI 中文版
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
privacy
Library for training machine learning models with privacy for training data
privacy-vs-robustness
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
privacyengcollabspace
Privacy Engineering Collaboration Space
private-data-generation
A toolbox for differentially private data generation
private-pgm
An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"
pro-gnn
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
procedural-advml
Model-independent universal black-box attack against computer vision DCNs.
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
