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
Developed an Machine learning model with Random Forest classifier after feature selection and hyper parameter tuning the model accuracy was 79.83% based on the financial habits of the customers in the Bank Database.
🚀100 Times Faster Natural Language Processing in Python - iPython notebook
Identifying a Large Number of Fake Followers on Instagram
Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.
Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
📕 An R/rtweet edition of Matthew A. Russell's Python Twitter Recipes Book
This is the code for "Machine Vision" By Siraj Raval on Youtube
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube
Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018
Abstractive Text Summarization using Transformer
Codes and data for 《De-biased Court’s View Generation with Causality》 EMNLP 2020
Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
Code to run submissions for the Atlantic Causal Inference Competition
A library of reinforcement learning components and agents
AdaGAN: greedy iterative procedure to train mixtures of GANs
Adaptive Skip-gram implementation in Julia
Advanced R programming: a book
Code and hyperparameters for the paper "Generative Adversarial Networks"
This repository contains a new adversarial training method for Generative Conversational Agents
Minimax Estimation of Conditional Moment Models
The classical papers and codes about generative adversarial nets
The AGI Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about artificial general intelligence over the years.
Analytical Hierarchy Process (AHP) with R
⛵AI that learns to sail upwind using Q-learning and average reward.
Some ipython notebooks implementing AI algorithms
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.