gradwanderer Goto Github PK

bertelsmann-schoolarship-ai

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

ceml

CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

codewars

Train katas on Codewars

cognitiveclass.ai-courses

digital_twin

Simulating some machines and then use graphana to visualize it. As a last step i will use AI to control some machines and use AI to predict maintanance.

dt-car-interface

dt-core

This is the code that runs the core stack on the Duckiebot in ROS

dt-duckiebot-interface

The set of drivers that run on the robot

duckietown-shell-commands

Commands for the Duckietown Shell

duckietown-world

examples-tensorflow

TensorFlow examples

expedition

expedition_codify_challenge_july2021

For our July 2021 expedITion Codify Challenge, this is our data & code base to start from.

fairnessrobustnesscontrastingexplanations

google-research

Google Research

gym-duckietown

Self-driving car simulator for the Duckietown universe

l2rpn-using-a3c

Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3

l2rpn_nips_2020_a_ppo_solution

This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.

l2rpn_wcci_a_solution

Repository for L2RPN WCCI 2020 competition. One possible solution.

ml-learning-1-oreilly

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

ml-learning-2-oreilly

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.

neurips_2020_l2rpn_comp_an_approach

The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition

parl

A high-performance distributed training framework for Reinforcement Learning

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

python-basics

python-scraping-oreilly

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

python_lookup

statistical-consulting

Cleaning Data and use HMMs to predict

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations