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Assignment of 14W Technologies to discriminate between images whether the given image is of "VadaPav or Not"
Web interface for browsing, search and filtering recent arxiv submissions
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome machine learning interpretability resources.
An awesome list of high-quality open datasets in public domains (on-going).
Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/
Source Code for the book Building Machine Learning Systems with Python
Stanford CoreNLP: A Java suite of core NLP tools.
Descriptive mAchine Learning EXplanations
a curated list of R tutorials for Data Science, NLP and Machine Learning
A collection of datasets ready to use with TensorFlow
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Kaggle's competition for using Google's word2vec package for sentiment analysis
DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
List of Data Science Cheatsheets to rule the world
Plotting Assignment 1 for Exploratory Data Analysis
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Topic Modelling for Humans
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Practical techniques for interpreting machine learning models.
Introduction to Statistics using Python
Jupyter metapackage for installation, docs and chat
A complete ML study path, focused on TensorFlow and Scikit-Learn
machine learning and deep learning tutorials, articles and other resources
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
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.