sacadena Goto Github PK
Name: Santiago Cadena
Type: User
Company: @lyft
Bio: Machine Learning Engineer @ Proxima Fusion
Location: Münich, Germany
Name: Santiago Cadena
Type: User
Company: @lyft
Bio: Machine Learning Engineer @ Proxima Fusion
Location: Münich, Germany
Repository for Advanced NumPy @ ASPP 2019
Repository for Advanced scientific Python @ ASPP 2019
Organising, Documenting & Distributing lecture repo
Repository for Parallel Python @ ASPP 2019
Repository for Testing and debugging @ ASPP 2019
Repository for Tidy data analysis and visualization @ ASPP 2019
Solutions to the Advent of Code 2021 Challenge
Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Computational Biology
Code for CNN visualization, RF estimation and more in matlab using MatConvNet toolbox.
CORnet: Modeling the Neural Mechanisms of Core Object Recognition
Code for Cadena et. al 2018 ECCV Diverse feature visualizations reveal invariances in early layers of deep neural networks.
Development of new unified docker container (WIP)
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
Code for Inception Loop 2019 Paper
Lucid library adapted for PyTorch
Script to send mass mail
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Exploring Neural Straightening in Mouse visual cortex
Machine Learning Utils of Sinzlab
A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.
Envisioning the biological visual system with deep neural networks. Project repo of Konsti.
Envisioning the biological visual system with deep neural networks. Project repo of Konsti.
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Collection of pretrained networks in pytorch readily available for transfer learning tasks (e.g. neural system identification)
Code for conducting iso-response contour analysis on DNNs
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.