Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
- image-annotation
- python
- computer-vision
- annotations
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Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
:satellite: Simple and ready-to-use tutorials for TensorFlow
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Companion webpage to the book "Mathematics For Machine Learning"
A curated list for awesome kubernetes sources :ship::tada:
🦉 Data Versioning and ML Experiments
The Cloud Native AI Platform
stable diffusion webui colab
TranslatedMy research experience
Oxford Deep NLP 2017 course
Translated"Spring Boot Basic Tutorial", the 2.x version is being published serially and is still ongoing! Click the link below to go straight to the tutorial table of contents!
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
Tensor library for machine learning
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Face recognition with deep neural networks.
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
This repository is no longer maintained.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Affordable WiFi hacking platform for testing and learning
A hyperparameter optimization framework
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included