TensorFlow-Guide
TensorFlow Guide
https://github.com/mikeroyal/TensorFlow-Guide
Last synced: 5 days ago
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Python Learning Resources
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Reinforcement Learning Learning Resources
- Top Deep Learning Courses Online | Coursera
- Top Deep Learning Courses Online | Udemy
- Learn Deep Learning with Online Courses and Lessons | edX
- Deep Learning Online Course Nanodegree | Udacity
- Machine Learning Engineering for Production (MLOps) course by Andrew Ng | Coursera
- Data Science: Deep Learning and Neural Networks in Python | Udemy
- Understanding Machine Learning with Python | Pluralsight
- How to Think About Machine Learning Algorithms | Pluralsight
- Deep Learning Courses | Stanford Online
- Deep Learning - UW Professional & Continuing Education
- Deep Learning Online Courses | Harvard University
- Machine Learning for Everyone Courses | DataCamp
- Artificial Intelligence Expert Course: Platinum Edition | Udemy
- Top Artificial Intelligence Courses Online | Coursera
- Learn Artificial Intelligence with Online Courses and Lessons | edX
- Professional Certificate in Computer Science for Artificial Intelligence | edX
- Artificial Intelligence Nanodegree program
- Artificial Intelligence (AI) Online Courses | Udacity
- Intro to Artificial Intelligence Course | Udacity
- Reasoning: Goal Trees and Rule-Based Expert Systems | MIT OpenCourseWare
- Expert Systems and Applied Artificial Intelligence
- Autonomous Maritime Systems Training | AMC Search
- Top Autonomous Cars Courses Online | Udemy
- Applied Control Systems 1: autonomous cars: Math + PID + MPC | Udemy
- Learn Autonomous Robotics with Online Courses and Lessons | edX
- Autonomous Systems Online Courses & Programs | Udacity
- Autonomous Systems MOOC and Free Online Courses | MOOC List
- Robotics and Autonomous Systems Graduate Program | Standford Online
- Mobile Autonomous Systems Laboratory | MIT OpenCourseWare
- Top Reinforcement Learning Courses | Coursera
- Top Reinforcement Learning Courses | Udemy
- Top Reinforcement Learning Courses | Udacity
- Reinforcement Learning Courses | Stanford Online
- Mobile Autonomous Systems Laboratory | MIT OpenCourseWare
- Artificial Intelligence (AI) Online Courses | Udacity
- Edge AI for IoT Developers Course | Udacity
- Autonomous Systems Online Courses & Programs | Udacity
- Top Reinforcement Learning Courses | Udacity
- Reinforcement Learning - supervised](https://en.wikipedia.org/wiki/Semi-supervised_learning) or [unsupervised](https://en.wikipedia.org/wiki/Unsupervised_learning).
- Deep Learning Online Courses | NVIDIA
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Reinforcement Learning Tools, Libraries, and Frameworks
- Jupyter Notebook - source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.
- LIBSVM - SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
- Microsoft Project Bonsai - code AI platform that speeds AI-powered automation development and part of the Autonomous Systems suite from Microsoft. Bonsai is used to build AI components that can provide operator guidance or make independent decisions to optimize process variables, improve production efficiency, and reduce downtime.
- Predictive Maintenance Toolbox™ - based and model-based techniques, including statistical, spectral, and time-series analysis.
- Navigation Toolbox™ - based path planners, as well as metrics for validating and comparing paths. You can create 2D and 3D map representations, generate maps using SLAM algorithms, and interactively visualize and debug map generation with the SLAM map builder app.
- OpenAI
- ReinforcementLearning.jl
- AWS RoboMaker - managed, scalable infrastructure for simulation that customers use for multi-robot simulation and CI/CD integration with regression testing in simulation.
- Cluster Manager for Apache Kafka(CMAK)
- CARLA - source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely.
- ROS/ROS2 bridge for CARLA(package) - way communication between ROS and CARLA. The information from the CARLA server is translated to ROS topics. In the same way, the messages sent between nodes in ROS get translated to commands to be applied in CARLA.
- Azure Databricks - based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
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R Learning Resources
- R
- An Introduction to R
- Google's R Style Guide
- R developer's guide to Azure
- Running R on AWS
- RStudio Server Pro for AWS
- Learn R by Codecademy
- Learn R Programming with Online Courses and Lessons by edX
- R Language Courses by Coursera
- Learn R For Data Science by Udacity
- Running R at Scale on Google Compute Engine
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R Tools, Libraries, and Frameworks
- CatBoost
- Visual Studio Code
- Code Server
- VSCode-R - project.org/), including features such as extended syntax highlighting, R language service based on code analysis, interacting with R terminals, viewing data, plots, workspace variables, help pages, managing packages, and working with [R Markdown](https://rmarkdown.rstudio.com/) documents.
- Rmarkdown
- Plotly
- Metaflow - life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
- LightGBM
- MLR
- Plumber
- Drake - focused pipeline toolkit for reproducibility and high-performance computing.
- DiagrammeR
- Knitr - purpose literate programming engine in R, with lightweight API's designed to give users full control of the output without heavy coding work.
- Broom
- R Debugger
- Language Server Protocol (LSP)
- R Host
- Rplugin
- ML workspace - in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. ML workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (Tensorflow, PyTorch, Keras, and MXnet) and dev tools (Jupyter, VS Code, and Tensorboard) perfectly configured, optimized, and integrated.
- Julia for TensorFlow
- Shiny
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Scala Learning Resources
- Scala - oriented and functional programming in one concise, high-level language. Scala's static types help avoid bugs in complex applications, and its JVM and JavaScript runtimes let you build high-performance systems with easy access to huge ecosystems of libraries.
- Scala Style Guide
- Creating a Scala Maven application for Apache Spark in HDInsight using IntelliJ
- Using Scala to Program AWS Glue ETL Scripts
- Using Flink Scala shell with Amazon EMR clusters
- AWS EMR and Spark 2 using Scala from Udemy
- Scala Courses from Coursera
- Using the Google Cloud Storage connector with Apache Spark
- Write and run Spark Scala jobs on Cloud Dataproc for Google Cloud
- Scala Courses and Certifications from edX
- Top Scala Courses from Udemy
- Top Scala Courses from Udemy
- Intro to Spark DataFrames using Scala with Azure Databricks
- Databricks Scala Style Guide
- Data Science using Scala and Spark on Azure
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Scala Tools and Libraries
- Azure Databricks - based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
- Scala Native - of-time compiler and lightweight managed runtime designed specifically for Scala.
- Gitbucket
- Gatling - Sent-Events and JMS.
- Scala.js
- Polynote
- Scalatra - performance, async web framework, inspired by [Sinatra](https://www.sinatrarb.com/).
- Play Framework
- AWScala
- R for TensorFlow
- Dotty
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Swift Learning Resources
- Swift - C.
- Xcode + Swift
- Swift 5.3 Basics
- Apple Developer Documentation
- Apple Foundation Framework
- Apple Core Animation Framework
- Apple Core Graphics Framework
- Getting Started with LLDB
- Amazon EC2 Mac Instances
- Apple Developer Forums
- Swift Forums
- Swift Courses Online from Coursera
- Swift Courses Online from Udemy
- Learning Swift course from Codecademy
- Swift - C.
- Swift Evolution - visible enhancements to the Swift Programming Language.
- Swift GitHub
- Google's Swift Style Guide
- Start Developing iOS Apps with Swift
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Swift Tools and Frameworks
- AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.
- SwiftUI
- UIKit - Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.
- AppKit
- ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
- RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
- Mac Catalyst
- Instruments - analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.
- Cocoapods - C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project.
- Vapor
- Hero
- Kingfisher - Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.
- Perfect - facing and server-side applications.
- Alamofire
- Eureka
- Carthage
- ReactiveCocoa
- Xcode - based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
- Scala for TensorFlow
- Realm - C.
- Mac Catalyst
Programming Languages
Categories
Reinforcement Learning Learning Resources
40
Distributed Computing Tools, Libraries, and Frameworks
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JavaScript Tools, Libraries, and Frameworks
38
C/C++ Tools and Frameworks
31
C/C++ Learning Resources
29
Python Frameworks and Tools
26
NLP Tools, Libraries, and Frameworks
22
Distributed Computing Learning Resources
21
R Tools, Libraries, and Frameworks
21
Julia Tools, Libraries and Frameworks
21
Swift Tools and Frameworks
21
Computer Vision Tools, Libraries, and Frameworks
20
NLP Learning Resources
20
Swift Learning Resources
19
MATLAB Learning Resources
17
Computer Vision Learning Resources
17
JavaScript Learning Resources
17
MATLAB Tools, Libraries, Frameworks
16
Scala Learning Resources
15
Learning Resources for ML
14
Python Learning Resources
12
Reinforcement Learning Tools, Libraries, and Frameworks
12
CUDA Tools Libraries, and Frameworks
12
R Learning Resources
11
Scala Tools and Libraries
11
Julia Learning Resources
10
ML Frameworks, Libraries, and Tools
7
CUDA Learning Resources
6
Deep Learning Tools, Libraries, and Frameworks
3
Deep Learning Learning Resources
3
License
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Sub Categories
Keywords
python
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machine-learning
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deep-learning
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cuda
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swift
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cpp
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gpu
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javascript
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nlp
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julia
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neural-network
5
tensorflow
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natural-language-processing
5
nvidia
4
ios
4
web-framework
4
pytorch
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data-science
4
carthage
4
ai
3
artificial-intelligence
3
compiler
3
named-entity-recognition
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c
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xcode
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neural-networks
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react
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matlab
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react-native
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scala
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cpp14
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http
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cpp11
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iot
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azure-sdk
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azure
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numpy
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sqlite
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typescript
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