ramanands Goto Github PK
Name: Ramanand Sagar T V
Type: User
Name: Ramanand Sagar T V
Type: User
A curated list of awesome computer vision resources
The most cited deep learning papers
Notes and homework for Coursera's "Machine learning" online class :books:
Developed the Data Science projects using these machine learning books and literature reviews
Emotion recognition using DNN with tensorflow
Free, Machine Learning, Deep Learning, Artificial Neural Networks, Books, Ebooks. RNN., CNN. TDNN,
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
List of books and other resources that are related to deep learning
machine learning and deep learning tutorials, articles and other resources
I am following few books called: "Machine Learning Mastery With Python," by Jason Brownlee ; and "Machine Learning with Python" by Andreas C. Mueller and Sarah Guido.The Codes in this repository is related to what I Learn.
:books: Books that will blow your mind
Minimal and clean examples of machine learning algorithms implementations
neural networks, sparse encoders, and recursive auto encoder sin python
Code samples for my book "Neural Networks and Deep Learning"
A curated list of natural language processing courses, video lectures, books, library and many more.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
My ML related stuff including notebooks, codes and a curated list of varoius useful resources such as books and softwares. Almost everything mentioned here is free(as speech not free food) or opensource.
A collection of Python books 📖
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
PyTorch Tutorial for Deep Learning Researchers
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
VIP cheatsheets for Stanford's CS 229 Machine Learning
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
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.