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Name: MamoonDoc
Type: User
Name: MamoonDoc
Type: User
Public material for CS109
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Deep Learning for Natural Language Processing resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Essential Cheat Sheets for deep learning and machine learning researchers
Datasets, tools, and benchmarks for representation learning of code.
Machine learning-Stanford University
Quiz & Assignment of Coursera
GNU Build-id providing service
Data Science Using Python
Cheat Sheets
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
List of Data Science Cheatsheets to rule the world
TensorFlow 1.x and 2.x tutorials and best practices.
FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.
The fastai book, published as Jupyter Notebooks
This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
A Little Book of R for Bioinformatics
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
A complete daily plan for studying to become a machine learning engineer.
Overview of Matplotlib
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.