jfc43 Goto Github PK
Name: Jiefeng Chen
Type: User
Company: Google
Bio: Research Scientist at Google.
Twitter: jiefengchen1
Location: Sunnyvale
Blog: https://jfc43.github.io/
Name: Jiefeng Chen
Type: User
Company: Google
Bio: Research Scientist at Google.
Twitter: jiefengchen1
Location: Sunnyvale
Blog: https://jfc43.github.io/
ARMORY Adversarial Robustness Evaluation Test Bed
Example external repository for interacting with armory.
Caffe: a fast open framework for deep learning.
A challenge to explore adversarial robustness of neural networks on CIFAR10.
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
Exploring evaluating the adversarial robustness of transductive-learning based defenses.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
go_moku AI
Google AI Research
We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.
Interpretation of Neural Network is Fragile
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Project for Course CS 744 Big Data System
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Pixel discretization defense against adversarial attacks
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Robust Attribution Regularization
Robust Out-of-distribution Detection in Neural Networks
Propose a principled and practically effective framework for unsupervised accuracy estimation and error detection tasks with theoretical analysis and state-of-the-art performance.
This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.
Statistical Machine Translation implementation with Python: especially IBM Model1, 2, and phrase-based machine translation.
app
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.