DanielF29

Prototipical_Parts

Repository with some codes to train and test ProtoPNets (Thanks to the autors of ProtoPNet)

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

HyperBlog

Un Blog increible para el curso de Git y Github de Platzi

PlotNeuralNet

Latex code for making neural networks diagrams

causal_learning_unknown_interventions

Code for "Neural causal learning from unknown interventions"

CausalWorld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Computer_vision

This is a repository of google colabs related to computer vision

DanielF29.github.io

Deep-Taylor-Decomposition

DTD implement on Imagenet pretrained model

DoWhy

Exploration of Microsoft's Python package of the same name for observational studies

dowhy-1

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.

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

google-research

Google Research

Grad-CAM_tests

hyperblog-1

Un blog increíble para el curso de Git y Github de Platzi

Netlogo_Complexity-measurement-on-a-MAS

6 similar codes of MAS on Netlogo testing a way for complexity measurement (based on Shannon Entropy) and comparisons between them

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Plots

Repository to share code to generate different kinds of plots

PPs_ICNN_Loss

ProtoPNet with ICNN Loss

ProtoPNet

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).

Python-Extension

Python extension for NetLogo

PythonExtension

Python extension for NetLogo

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

SC2-Q-Learning

Codes on SCLE 2.0 with Zerg race using Q-learning

Simple-CartPole-NN-using-PyTorch-and-OpenAI-Gym

Simple CartPole controled by a NN using PyTorch and OpenAI Gym