DiegoAgher / learnPongPythonLinks
Project that aims to build a model that learns how to play pong using python
☆30Updated 7 years ago
Alternatives and similar repositories for learnPongPython
Users that are interested in learnPongPython are comparing it to the libraries listed below
Sorting:
- This is a quick analysis on books suggestions from hacker news☆23Updated 7 years ago
- A Python schema-based machine learning library☆73Updated 7 years ago
- Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causa…☆96Updated 7 years ago
- Command-line tool to deploy ML applications to your own server☆27Updated 7 years ago
- python notebooks for revising machine learning basics☆28Updated 7 years ago
- Code for https://fosterelli.co/executing-gradient-descent-on-the-earth☆69Updated 2 weeks ago
- Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.☆83Updated 5 years ago
- This repository contains research we conduct at Vocapouch we want to share with the world.☆22Updated 8 years ago
- Datasets for start with Machine Learning☆68Updated 7 months ago
- A Flask implementation of Jian-Yang's HotDog identification app.☆62Updated 8 years ago
- Material for some talks I have given☆62Updated last year
- A primer for data science tools in Python☆56Updated 6 years ago
- All kinds of survival analysis distributions and methods to optimize how long to wait for them.☆39Updated 4 years ago
- Wedding Optimization using Simulated Annealing☆35Updated 4 years ago
- Curated list of all dataset websites that I find☆83Updated 7 years ago
- 🔮 Programmatic time-based job scheduler☆20Updated 2 years ago
- Using word vectors to classify spam messages☆149Updated 8 years ago
- Markov Chain Twitter Bot generator☆115Updated 3 years ago
- Machine learned bracketology☆191Updated 2 years ago
- SImple notebook and dataset to demonstrate classification in TensorFlow☆100Updated 5 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.