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Name: wolfedwolf
Type: User
Company: Booz Allen Hamilton
Name: wolfedwolf
Type: User
Company: Booz Allen Hamilton
Tree_ensemble
TF-Agents is a library for Reinforcement Learning in TensorFlow
AI plays Mario using Deep Q-Learning RL Algorithm
OMNeT++ V2X simulation framework for ETSI ITS-G5
Open-source software for self-driving vehicles
Image Classification using AWS Sagemaker
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
A project to help make the roads a smarter and safer place
In this notebook, we will use scikit-learn to perform a decision tree based classification of weather data. The file daily_weather.csv is a comma-separated file that contains weather data. This data comes from a weather station located in San Diego, California. The weather station is equipped with sensors that capture weather-related measurements such as air temperature, air pressure, and relative humidity. Data was collected for a period of three years, from September 2011 to September 2014, to ensure that sufficient data for different seasons and weather conditions is captured. Let's now check all the columns in the data.
This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
Introduction to Deep Neural Networks with Keras and Tensorflow
Examples of linear regression, logistic regression, and deep learning implementations such as Transformers, gans, cnns, rnns, and more using Tensorflow. The code examples here are discussed in my books: Deep Learning Algorithms, and Getting Started with Deep Learning -->> Link.
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Intelligence traffic signal control using deep reinforcement learning
Pothole detection using Faster R-CNN Model by FurkanOM. Code for Detection Of Road Damage Using Faster Regional-Convolutional Neural Network Method paper
A python library for decision tree visualization and model interpretation.
Computational framework for reinforcement learning in traffic control
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
Code and slides for a gentle interactive introduction. Learn the basics of image classification and machine learning with Python and sklearn.
US Department of Transportation (USDOT) Intelligent Transportation Systems Operational Data Environment (ITS ODE). This is the main repository that integrates and coordinates ODE Submodules.
Malicious URL detector using keras recurrent networks and scikit-learn classifiers
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.