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Models and examples built with TensorFlow
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Awesome & interesting talks about programming
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
Peter Norvig's Paradigms of AI Programming implemented in Python