Deep-Learning-Guide
Deep learning Guide.
https://github.com/mikeroyal/Deep-Learning-Guide
Last synced: 10 days ago
JSON representation
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ML Frameworks, Libraries, and Tools
- Cluster Manager for Apache Kafka(CMAK)
- OpenCV - time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
- 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.
- AutoGluon - accuracy deep learning models on tabular, image, and text data.
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NLP Learning Resources
- Natural Language Processing With Python's NLTK Package
- Cognitive Services—APIs for AI Developers | Microsoft Azure
- Artificial Intelligence Services - Amazon Web Services (AWS)
- Google Cloud Natural Language API
- Top Natural Language Processing Courses Online | Udemy
- Introduction to Natural Language Processing (NLP) | Udemy
- Top Natural Language Processing Courses | Coursera
- Natural Language Processing | Coursera
- Natural Language Processing in TensorFlow | Coursera
- Learn Natural Language Processing with Online Courses and Lessons | edX
- Build a Natural Language Processing Solution with Microsoft Azure | Pluralsight
- Natural Language Processing (NLP) Training Courses | NobleProg
- Natural Language Processing with Deep Learning Course | Standford Online
- Advanced Natural Language Processing - MIT OpenCourseWare
- Certified Natural Language Processing Expert Certification | IABAC
- Natural Language Processing Course - Intel
- Natural Language Processing (NLP) - based modeling of human language with statistical, machine learning, and deep learning models.
- Natural Language Processing Course - Intel
- Cognitive Services—APIs for AI Developers | Microsoft Azure
- Natural Language Processing Course - Intel
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NLP Tools, Libraries, and Frameworks
- Natural Language Toolkit (NLTK) - to-use interfaces to over [50 corpora and lexical resources](https://nltk.org/nltk_data/) such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries.
- CoreNLP
- NLPnet - of-speech tagging, semantic role labeling and dependency parsing.
- Flair - of-the-art Natural Language Processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), special support for biomedical data, sense disambiguation and classification, with support for a rapidly growing number of languages.
- Catalyst - trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
- TensorFlow - to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
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Photogrammetry Learning Resources
- Terrestrial(Close-range) photogrammetry
- Top Photogrammetry Courses Online | Udemy
- Photogrammetry With Drones: In Mapping Technology | Udemy
- Introduction to Photogrammetry Course | Coursera
- Photogrammetry Online Classes and Training | Linkedin Learning
- Pix4D training and certification for mapping professionals
- Drone mapping and photogrammetry workshops with Pix4D
- Digital Photogrammetric Systems Course | Purdue Online Learning
- Photogrammetry Training | Deep3D Photogrammetry
- ASPRS Certification Program
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Photogrammetry Tools, Libraries, and Frameworks
- Autodesk® ReCap™
- Autodesk® ReCap™ Photo - connected solution tailored for drone/UAV photo capturing workflows. Using ReCap Photo, you can create textured meshes, point clouds with geolocation, and high-resolution orthographic views with elevation maps.
- Pix4D
- PIX4Dmapper
- Adobe Scantastic - based photogrammetry pipeline), users can easily scan objects in their physical environment and turn them into 3D models which can then be imported into tools like [Adobe Dimension](https://www.adobe.com/products/dimension.html) and [Adobe Aero](https://www.adobe.com/products/aero.html).
- Adobe Aero - party apps like Cinema 4D, or asset libraries like Adobe Stock and TurboSquid. Aero optimizes a wide array of assets, including OBJ, GLB, and glTF files, for AR, so you can visualize them in real time.
- Agisoft Metashape - alone software product that performs photogrammetric processing of digital images and generates 3D spatial data to be used in GIS applications, cultural heritage documentation, and visual effects production as well as for indirect measurements of objects of various scales.
- MicroStation
- Leica Photogrammetry Suite (LPS) - friendly environment that guarantees results even for photogrammetry novices.
- Terramodel
- COLMAP - purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for reconstruction of ordered and unordered image collections.
- Multi-View Environment (MVE) - view datasets and to support the development of algorithms based on multiple views. It features Structure from Motion, Multi-View Stereo and Surface Reconstruction. MVE is developed at the TU Darmstadt.
- PhotoModeler - effective way for accurate 2D or 3D measurement, photo-digitizing, surveying, 3D scanning, and reality capture.
- ODM
- WebODM - friendly, commercial grade software for drone image processing. Generate georeferenced maps, point clouds, elevation models and textured 3D models from aerial images. It supports multiple engines for processing, currently [ODM](https://github.com/OpenDroneMap/ODM) and [MicMac](https://github.com/dronemapper-io/NodeMICMAC/).
- NodeODM
- FIELDimageR
- Regard3D - from-motion program. It converts photos of an object, taken from different angles, into a 3D model of this object.
- Leica Photogrammetry Suite (LPS) - friendly environment that guarantees results even for photogrammetry novices.
- MicMac - source photogrammetry software tools for 3D reconstruction.
- Meshroom - source 3D Reconstruction Software based on the AliceVision framework.
- MicroStation
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Python Frameworks, Libraries, and Tools
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viii. Linear Regression
- Python Package Index (PyPI)
- PyCharm
- Django - level Python Web framework that encourages rapid development and clean, pragmatic design.
- Web2py - source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases.
- Falcon - performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
- Pillow
- IPython
- Pandas
- Matplotlib - quality figures in a variety of hardcopy formats and interactive environments across platforms.
- Python Tools for Visual Studio(PTVS)
- Python Tools for Visual Studio(PTVS)
- AWS Chalice
- HTTPie
- Pipenv
- Python Fire
- Bottle - framework for Python. It is distributed as a single file module and has no dependencies other than the [Python Standard Library](https://docs.python.org/library/).
- Neural Network Intelligence(NNI)
- Luigi - in.
- Locust
- spaCy
- PuLP
- Sanic
- GraphLab Create - scale, high-performance machine learning models.
- Sentry
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Python Learning Resources
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viii. Linear Regression
- CheckiO
- PCPP – Certified Professional in Python Programming 2
- Getting Started with Python in Visual Studio Code
- Google's Python Style Guide
- Google's Python Education Class
- Intro to Python for Data Science
- Intro to Python by W3schools
- Codecademy's Python 3 course
- Learn Python with Online Courses and Classes from edX
- Python Courses Online from Coursera
- The Python Open Source Computer Science Degree by Forrest Knight
- Real Python
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R Learning Resources
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viii. Linear Regression
- 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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Robotic Arms & Dev Kits
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Robotics Learning Resources
- Top Robotics Courses Online from Udemy
- Carnegie Mellon Robotics Academy
- Microsoft AI School
- Language Understanding (LUIS) for Azure Cognitive Services
- Learn Robotics with Online Courses and Classes from edX
- Azure VM templates to bootstrap ROS and ROS 2 environments
- Google Robotics Research
- Free Online AI & Robotics Courses
- RIA Robotic Integrator Certification Program
- AWS RoboMaker – Develop, Test, Deploy, and Manage Intelligent Robotics Apps
- Windows ML ROS Node
- RIA Robotic Integrator Certification Program
- ROS on Windows 10
- Microsoft AI School
- REC Foundation Robotics Industry Certification
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Robotics Tools and Frameworks
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i. Basis
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iii. Dimension and Basis for Vector Spaces
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iii. Matrix-vector product
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iii. Transpose of a Matrix
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ii. Matrix operations
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ii. Matrix representations of linear transformations
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ii. Systems of equations as matrix equations
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ii. Using elementary matrices
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i. Solving systems of equations
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i. Using row operations
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i. Vector operations
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iv. Linear transformations
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iv. Row space, columns space, and rank of a matrix
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v. Fundamental vector spaces
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vi. Determinants
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vii. Eigenvalues and eigenvectors
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viii. Linear Regression
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- Linear regression
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Categories
Robotics Tools and Frameworks
119
Autodesk Tools and Frameworks
77
Bioinformatics Tools, Libraries, and Frameworks
50
C/C++ Tools and Frameworks
32
C/C++ Learning Resources
29
ML Frameworks, Libraries, and Tools
25
Python Frameworks, Libraries, and Tools
24
Photogrammetry Tools, Libraries, and Frameworks
22
Julia Tools, Libraries and Frameworks
21
NLP Learning Resources
20
Computer Vision Tools, Libraries, and Frameworks
19
CUDA Tools Libraries, and Frameworks
18
Computer Vision Learning Resources
16
MATLAB Tools, Libraries, Frameworks
16
Autodesk Learning Resources
16
Robotics Learning Resources
15
LiDAR Tools & Frameworks
15
Learning Resources for ML
14
MATLAB Learning Resources
14
R Tools, Libraries, and Frameworks
13
Bioinformatics Learning Resources
13
LiDAR Learning Resources
12
Python Learning Resources
12
R Learning Resources
11
Photogrammetry Learning Resources
10
Julia Learning Resources
10
CUDA Learning Resources
6
NLP Tools, Libraries, and Frameworks
6
Robotic Arms & Dev Kits
3
License
1
Sub Categories
viii. Linear Regression
208
vi. Determinants
2
v. Fundamental vector spaces
2
i. Basis
2
i. Using row operations
2
iv. Linear transformations
2
iii. Matrix-vector product
2
i. Vector operations
2
i. Solving systems of equations
2
ii. Systems of equations as matrix equations
2
ii. Matrix operations
2
iii. Dimension and Basis for Vector Spaces
1
iii. Transpose of a Matrix
1
iv. Row space, columns space, and rank of a matrix
1
vii. Eigenvalues and eigenvectors
1
ii. Matrix representations of linear transformations
1
ii. Using elementary matrices
1
Keywords
python
14
deep-learning
9
machine-learning
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cpp
8
cuda
8
ros
6
gpu
6
nlp
6
natural-language-processing
5
nvidia
4
julia
4
azure
4
ai
4
data-science
4
artificial-intelligence
4
pytorch
4
neural-network
4
computer-vision
4
cpp14
3
named-entity-recognition
3
cxx14
3
c
3
tensorflow
3
cpp11
3
neural-networks
3
deep-reinforcement-learning
3
matlab
3
structure-from-motion
2
visualization
2
photogrammetry
2
docker
2
robotics
2
iot
2
statistics
2
data-visualization
2
algorithms
2
self-driving-car
2
tensor
2
cpp17
2
cpp20
2
cxx
2
cxx11
2
cxx17
2
cxx20
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gpu-computing
2
nvidia-hpc-sdk
2
research
2
ros2
2
cli
2
visual-studio
2