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Source channel @githubtrending · Post #14972 · Jul 18

#javascript#distributed_companies#hacktoberfest#jobs_search#jobsearch#jobseeker#remote#remote_companies#remote_job#remote_work This list shows hundreds of companies, mostly in tech, that let people work from home either part-time or full-time, with many offering jobs to people all over the world. The list includes big names like Microsoft, Amazon, and Shopify, as well as smaller companies, and covers many different types of work, from software and design to education and health. For anyone looking for a remote job, this is a helpful starting point because it saves time—instead of searching one by one, you can quickly see which companies are open to remote work and find links to their websites for more details or to apply. This makes it much easier to find a job that fits your skills and lets you work from anywhere. https://github.com/remoteintech/remote-jobs

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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