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Code for the Deep Learning with PyTorch lesson
A tutorial on how to use the datalabframework fro ETL and ML
A service for extracting text from ID cards in India, like Aadhar Card, PAN Card and Driving Licence. You just need to click and send a picture of the card to the API and get a json with your details. It was built using Flask, Deep Learning and Image Processing. It also uses Connectionist Text Proposal Network (Open Source) along with Tesseract for text extraction.
Video analysis using YoloV3 and openCV library
🐋 Docker Cheat Sheet 🐋
Contains my explorations of using Docker to automate ML workflows.
This PyTorch implementation of LayoutLM paper by Microsoft demonstrate the SequenceClassfication task using HuggingFaceTransformers to classify types of Documents.
Metis Data Science Bootcamp - Official Prework Repository
Model drift detection
Jupyter Hub for Tutorials and Quizzes
Fine-grained dynamic graph for novel comprehension
🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).
🚀 An end-to-end ML applications using TensorFlow 2.0 + Keras, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-tensorflow.herokuapp.com/ (may take few minutes to spin up occasionally).
The code for the introduction to end-to-end machine learning workshop (based on Machine Learning Bookcamp)
Some improvements on Adam
A tensorflow implementation of EAST text detector
Simple and comprehensive tutorials in TensorFlow
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning
Various Earth Engine Python API notebooks
PyTorch tutorials and best practices.
Extended Isolation Forest for Anomaly Detection
An end to end strategy to make a Medicine Search Engine using Elastic Search from scratch in Python.
Learn how to how to use the lambda, map, filter and reduce functions in Python to transform data structures.
Data Science/Programming notes
Reinforcement learning for energy systems
Estimating Gradients for Discrete Random Variables by Sampling without Replacement
Intention is to use different algorithms of Machine Learning in R-Programming and Python to work with various dimension and range of data. The implementation will be based on BigData framework and main point of attraction will be Spark and Hive includinh hadoop
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.