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Jan Bours's Projects

fatools icon fatools

R package for factor analysis visualization

feature-selector icon feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fes icon fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

finrl icon finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

first-order-model icon first-order-model

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

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

flame icon flame

R package for matching algorithm in causal inference

flow icon flow

Discovering Lagrangians automatically from data

former icon former

Simple transformer implementation from scratch in pytorch.

g2g_optimization icon g2g_optimization

graph-to-graph translation using hierarchical graph structure with iterations

galogger icon galogger

Log R Events and R Usage to Google Analytics

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-project-2018 icon gan-project-2018

My Personal GitHub Project: GAN in Tensorflow to be run via Windows/Linux shell command + Guidelines

gandissect icon gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganlab icon ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

ganspace icon ganspace

Discovering Interpretable GAN Controls [NeurIPS 2020]

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

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