NathanZorndorf

NathanZorndorf's Stars

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.7k1.2k

• keon/deep-q-learning

  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

  Language:Python1.3k454

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python6.3k720

• aadharna/RL2019

  Sutton & Barto Reinforcement Learning With OpenAI Gym

  Language:Jupyter Notebook81

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.3k6k

• epignatelli/reinforcement-learning-an-introduction

  A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.

  Language:Jupyter Notebook178

• commaai/openpilot

  openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

  Language:Python48.7k8.8k

• colinskow/move37

  Coding Demos from the School of AI's Move37 Course

  Language:Python181115

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python22.5k4.2k

• titu1994/keras-one-cycle

  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

  Language:Python28577

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.3k12.6k

• TRoboto/datacamp-downloader

  Download your completed courses on Datacamp easily!

  Language:Python17852

• marcopeix/TimeSeriesForecastingInPython

  Language:Jupyter Notebook392228

• rkingery/sm-mentorship

  Files for SharpestMinds mentorship

  81

• intel/scikit-learn-intelex

  Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

  Language:Python1.2k170

• sslover/designing-for-data-personalization

  Syllabus and code resources for ITP class "Designing for Data Personalization"

  Language:JavaScript3621

• bndr/pipreqs

  pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

  Language:Python6k379

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k513

• AllenDowney/ModSimPy

  Text and supporting code for Modeling and Simulation in Python

  Language:HTML8121.8k

• microsoft/InnerEye-DeepLearning

  Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

  Language:Python545141

• htmlpreview/htmlpreview.github.com

  HTML Preview for GitHub Repositories

  Language:JavaScript1.5k303

• AdmiralenOla/pooledsampling-covid-simulation

  Estimating the effect of pooled sampling in testing for Covid-19 through simulations in R

  Language:R1

• lytemar/JH-Mathematical-Biostatistics-Bootcamp-Course-Materials-Caffo

  A repository of my Coursera latex code and notes

  Language:TeX87

• aschleg/hypothetical

  Hypothesis and statistical testing in Python

  Language:Python5910

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.2k1.7k

• reneshbedre/bioinfokit

  Bioinformatics data analysis and visualization toolkit

  Language:Python32876

• ersaurabhverma/autoplotter

  Language:Python15234

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.1k3.2k

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.6k1.7k

• gdsbook/book

  This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

  Language:Jupyter Notebook329102