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Name: Nirav Prajapati
Type: User
Name: Nirav Prajapati
Type: User
A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Audio Explorer helps in audio data discovery and labelling by utilising unsupervised machine learning, statistics and digital signal processing.
:memo: An awesome Data Science repository to learn and apply for real world problems.
:metal: awesome-semantic-segmentation
These are my learning exercices from Coursera
Quiz & Assignment of Coursera
Quiz & Assignment of Coursera
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Apps hosted in the Dash Gallery
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)
Introduction to Deep Neural Networks with Keras and Tensorflow
A MNIST-like fashion product database. Benchmark :point_right:
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.
Last Minute Note of Machine learning and Deep learning by Jason Brownlee
Source Code for 'Learn Keras for Deep Neural Networks' by Jojo John Moolayil
Learn OpenCV : C++ and Python Examples
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Open Machine Learning Course
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
This program can recognize your mood by detecting your face and play song according your mood
Visualizer for neural network, deep learning and machine learning models
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
Open Source Computer Vision Library
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.