danielf29 Goto Github PK
Name: Daniel Flores Araiza
Type: User
Company: ITESM
Bio: Ph.D. Student at ITESM, working on XAI and Causality.
Twitter: delfox29
Name: Daniel Flores Araiza
Type: User
Company: ITESM
Bio: Ph.D. Student at ITESM, working on XAI and Causality.
Twitter: delfox29
Examples of how to create colorful, annotated equations in Latex using Tikz.
Code for "Neural causal learning from unknown interventions"
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
This is a repository of google colabs related to computer vision
DTD implement on Imagenet pretrained model
Exploration of Microsoft's Python package of the same name for observational studies
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
This repository contains the source code for the paper First Order Motion Model for Image Animation
Google Research
Un Blog increible para el curso de Git y Github de Platzi
Un blog increíble para el curso de Git y Github de Platzi
6 similar codes of MAS on Netlogo testing a way for complexity measurement (based on Shannon Entropy) and comparisons between them
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Latex code for making neural networks diagrams
Repository to share code to generate different kinds of plots
ProtoPNet with ICNN Loss
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Repository with some codes to train and test ProtoPNets (Thanks to the autors of ProtoPNet)
Python extension for NetLogo
Python extension for NetLogo
A Collection of Variational Autoencoders (VAE) in PyTorch.
Codes on SCLE 2.0 with Zerg race using Q-learning
Simple CartPole controled by a NN using PyTorch and OpenAI Gym
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.