tianweiy Goto Github PK
Name: Tianwei Yin
Type: User
Company: MIT
Location: Boston
Name: Tianwei Yin
Type: User
Company: MIT
Location: Boston
Light version of Network Dissection for Quantifying Interpretability of Networks
Mitigating Adversarial Effects Through Randomization
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
The devkit of the nuScenes dataset.
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
A simple and effective method for detecting out-of-distribution images in neural networks.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
The Pytorch code of OCNet series and SegFix.
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
PlayGround: AI Research into Multi-Agent Learning.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Create amazing 360 and VR content using React
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
Scrapy, a fast high-level web crawling & scraping framework for Python.
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Code replicating the results of our "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers" paper
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
Spatial Sparse Convolution Library
A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Experiments on various transformation-based adversarial attack and defense
High performance physically based renderer in C++11
Open deep learning compiler stack for cpu, gpu and specialized accelerators
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.