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Source channel @githubtrending · Post #15057 · Aug 14

#go#external_secrets#hacktoberfest#kubernetes#kubernetes_secrets#secrets_manager External Secrets Operator (ESO) is a Kubernetes tool that connects external secret managers like AWS Secrets Manager, HashiCorp Vault, and others to Kubernetes, automatically injecting secret values into Kubernetes Secrets. However, official releases are paused because the current maintainer team is too small to support ongoing development and community help. You can still use the latest code from the main branch, but no new official versions or support will be provided until more maintainers join. If your team relies on ESO, contributing helps keep the project healthy and ensures future updates. This pause highlights the importance of community support for open-source tools you depend on. Using ESO benefits you by simplifying secure secret management in Kubernetes across multiple cloud providers. https://github.com/external-secrets/external-secrets

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm