The 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 more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- natural-language-processing
- machine-learning
- named-entity-recognition
- machine-translation
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
- transferlearning
- domain-adaptation
- transfer-learning
- survey
A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.
CTFs as you need them
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
- tracking
- computer-vision
- siamese-network
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
- interview-practice
- interview-test-task
- language-learning
- coding-interview
End-to-end DevOps TaskFlow API — FastAPI, PostgreSQL, SQLAlchemy, Alembic, Docker Compose, Pytest and GitHub Actions CI,Kubernetes,prometheus,Grafana,helm,k9s,kompose,minikube,helmify
- alembic
- docker
- docker-compose
- fastapi
Django backend for Helium - Student Planner