jbdatascience Goto Github PK
Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
R package for factor analysis visualization
Feature selector is a tool for dimensionality reduction of machine learning datasets
automated feature engineering
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
This is the code for "Financial Forecasting with Tensorflow.js" By Siraj Raval on Youtube
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
This repository contains the source code for the paper First Order Motion Model for Image Animation
A very simple framework for state-of-the-art Natural Language Processing (NLP)
R package for matching algorithm in causal inference
Easy interactive dashboards for R
Discovering Lagrangians automatically from data
Multi-class classification with focal loss for imbalanced datasets
The shape of football games.
Simple transformer implementation from scratch in pytorch.
graph-to-graph translation using hierarchical graph structure with iterations
Log R Events and R Usage to Google Analytics
Code for "An estimation method for game complexity"
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
GAN papers
My Personal GitHub Project: GAN in Tensorflow to be run via Windows/Linux shell command + Guidelines
Generative Adversial Network Example
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
starter from "How to Train a GAN?" at NIPS2016
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
Discovering Interpretable GAN Controls [NeurIPS 2020]
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Implementation of Graph Convolutional Networks in TensorFlow
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.