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Name: NING LAM
Type: User
Name: NING LAM
Type: User
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
first-order deep learning accelerator model
A sybil-resilient distributed learning protocol.
通过MXNet/Gluon来动手学习深度学习
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory - WACV18
Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)
Algorithms to recover input data from their gradient signal through a neural network
:pencil2: LeetCode solutions in C++ 11 and Python3
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
A step-by-step guide demonstrating how the PATE Framework works and how to make it bidirectionally private by adding an encryption layer.
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
Repository for SysML19 Artifacts Evaluation
Code for Machine Learning Models that Remember Too Much (in CCS 2017)
OpenDataScience Machine Learning course. Both in English and Russian
Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)
Tools for computing model parameters and FLOPs.
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
Models built with TensorFlow
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Using RGB Image as Visual Input for Mapless Robot Navigation
Implementation of NetAdapt
Network Slimming (Pytorch)
The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
Explore the energy-efficient dataflow scheduling for neural networks.
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.