shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
Code from Jia and Liang, "Adversarial Examples for Evaluating Reading Comprehension Systems" (EMNLP 2017)
Performing C&W attack on Recurrent Neural Network
Countering Adversarial Image using Input Transformations.
Adversarial Learning, Matrix Factorization, Recommendation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks (CVPR 2017)"
Code for "Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models (CoNLL 2018)"
The classical papers and codes about generative adversarial nets
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Open-source implementation of Google Vizier for hyper parameters tuning
Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang
Auto encoder for time series
scalable active learning by approximated error reduction
Deep Aerial Image Recognition
Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky
Keras implementation of a CNN network for age and gender estimation
Vehicle routing and dispatching problem used in the agricultural robotics and logistics
AlphaGo Zero Reimplementation. MCTS Self Play library.
The Pytorch implementation of the 3D Anisotropic Hybrid Network described in the paper "3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes"
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Accompanying repository for Let's make a DQN / A3C series.
AI Challenger Keypoints Detection(https://challenger.ai/competition/keypoint/leaderboard) (SYSU_Pose Rank #5)
AI Chatbot using Dynamic Memory Network in Keras.
Favorite AI papers
A C++ framework for MDPs and POMDPs with Python bindings
An open-source platform for Visual AI.
Bringing Characters to Life with Computer Brains in Unity
Demonstration of using Caffe2 inside an Android application.
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.