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30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
This repo contains annotated research papers that I found really good and useful
A curated list of references for MLOps
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.
Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)
📚 Various cheatsheets in PDF
Official implementation of Character Region Awareness for Text Detection (CRAFT)
Train_Image_Data_DCNN_Design_Colab
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with TensorFlow 2 and Keras, published by Packt
Text recognition (optical character recognition) with deep learning methods.
This project implements the SOTA image segmentation algorithm deeplab V3+ with tensorflow 2.0
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Deformable Convolutional Networks
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
End-to-End Object Detection with Transformers
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
TensorFlow examples
The fastai book, published as Jupyter Notebooks
Feature Store for Machine Learning
Deep Graph-Convolutional Image Denoising
Heart_Disease prediction_Genetic_Algorithm_KNN
Notebooks from colab
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
Read car, truck and other images from dataset and store based on their named folder using Yolo V3
Sandbox for training deep learning networks
Keras implementation of Deeplab v3+ with pretrained weights
Keras documentation, hosted live at keras.io
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.