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Type: User
Type: User
A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets
Toturial coming with "data science roadmap" graphe.
Notebook for my article: ["A Data Science Template"](https://lucas-soares.medium.com/a-data-science-template-5cd23310466)
Collection of papers and resources for data augmentation for NLP.
Deep Learning, Keras, Tensorflow & Spark Training by Databricks
🍧 A repository that contains courses I have taken on DataCamp
DataCamp data-science courses
Tutorials for DataCamp (www.datacamp.com)
code project normal ( chatbot, capture picture, fake new,....) and Knowledge Python, Numpy, Klearn, Pandas,...
Class Repository for Machine Learning I - 7331
The git repo for every AI and python enthusiast
Data Science Track - Exercises and activities towards Dataquest.io
Here I'll publish all of my personal projects that relate to Data Science in Marketing
Tutorials about Machine Learning and Deep Learning
common data analysis and machine learning tasks using python
a curated list of R tutorials for Data Science, NLP and Machine Learning
Open Source Data Science Resources.
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
The Natural Language Decathlon: A Multitask Challenge for NLP
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Repo for the Deep Learning Nanodegree Foundations program.
A community run, 5-day PyTorch Deep Learning Bootcamp
Google TensorFlow project for classification using images or video input.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
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.