leonbai Goto Github PK
Name: LeonBai
Type: User
Bio: ATR CBI researcher
Location: Japan
Name: LeonBai
Type: User
Bio: ATR CBI researcher
Location: Japan
2023: Preserved neural dynamics across animals performing similar behaviour
Approximate Bayesian Computation Population Monte Carlo
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. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
Python implementation of an Adaptive neuro fuzzy inference system
Experimenting with Deep Learning modules (RBM and DBN) which learns association
Autoencoder that generates handwritten digit images after training against the MNIST dataset.
This curated list contains python packages for time series analysis
A python tutorial on bayesian modeling techniques (PyMC3)
Minimal scripts available for predictions on multiple datasets
A CNN with an attentional module that I built while attending the brains minds and machines summer course
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
🍺 The missing package manager for macOS
Convolutional Auto-Encoder
Various programs for processing and displaying coactivation patterns in fMRI data
A library for benchmarking vulnerability to adversarial examples
A convolutional neural network designed to recognize facial expressions in static images.
Harmonization of multi-site imaging data with ComBat
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
Library for detecting and visualizing community structure in graphs
Compact Bilinear Pooling (https://arxiv.org/abs/1511.06062) for TensorFlow
Keras implementation of Representation Learning with Contrastive Predictive Coding
Easy benchmarking of all publicly accessible implementations of convnets
Utilities for brain atlas related tasks
Python-based tutorial on Connectome-based Predictive Modeling (CPM), originally prepared for Georgetown Methods Lab.
preliminary script sharing folder for preprocessing face dataset
Metasploit for machine learning.
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
Keras implementation of the Deep Temporal Clustering (DTC) model
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.