Search Results for "face"

...It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.

...A plug-in system is software that enables your users or customers to add some logic into certain points in your application. You decide where this logic runs, and your users decide what the plug-in does. Many engineering teams face an ever-growing list of feature requests, often exceeding their bandwidth several times over. How can you ever keep up? Making your product extensible by its end-users is a great way to move some of those features outside the core, and empower customers to make your software more useful for them.

...Logs, diffs, files, results, and other evidence remain attached to the work that produced them. Compute can run locally, over SSH, or on platforms such as Slurm, Kubernetes, Ray, Modal, and Hugging Face Jobs. Projects and experiment data remain local by default through a local dashboard and SQLite store.

...It accelerates model execution through hand-written Metal kernels and requires an M1 or newer Mac running macOS 14 or later. A unified command-line interface can download models from Hugging Face, convert checkpoints, launch chats, benchmark performance, and inspect model packages. Its server implements OpenAI-compatible chat, completion, embedding, transcription, tool-calling, and multimodal endpoints. The custom .base format supports affine quantization from Q2 through Q8, optional AWQ calibration, and signed model bundles. ...

rust-bert is a Rust-based implementation of transformer-based natural language processing models that provides ready-to-use pipelines for tasks such as text classification, summarization, and question answering. The project ports many capabilities of the Hugging Face Transformers ecosystem into the Rust programming language. It allows developers to run state-of-the-art NLP models like BERT, GPT-2, and DistilBERT directly within Rust applications while maintaining high performance and memory efficiency. The library integrates with Rust machine learning infrastructure using crates such as tch-rs and ONNX Runtime for model execution. ...

...CLIPPING Auto: create 15s, 30s, 45s, 1m, or custom clips from the transcript Manual: click two words to set in/out points MCP: let an agent choose clips by word index with live preview Open the full GrepCut Studio editor from Clipper OVERLAYS Animated caption presets with live preview Adjust position, size, and words per line Add a logo or handle; control placement and opacity TRANSCRIPTION Run Parakeet or Whisper v3 Turbo locally, with optional MDX vocal isolation Or use your Groq/OpenRouter API key AUTOREFRAME Face and subject tracking for 9:16, 4:5, 1:1, and 16:9 Split view when two people won’t fit in one crop RENDER QUEUE Choose formats per clip Export at source quality, 1080p, or 720p PUBLISH Publish directly to TikTok and YouTube

a opencascade based parametric CAD application, that focuses more on a blender like behaviour with bodies instead of parts or assemblies that can be freely moved and rotated in space and a edge and face based workflow allowing sketches on almost all surfaces that are flat at any angle forked of SindriCAD, changed quite alot. made with rust and typescript DISCLOSURE This Project uses AI to generate chunks of code, tests and some models via MCP. I actively try to reduce the slop quality of the program by actively using it and reviewing code and guiding the AI step by step following my idea of a good CAD program. ...

Press and hold the hotkey, speak, and release — Aura instantly transcribes your speech and types the text right under your cursor in any Windows application. Runs 100% offline via local models (Whisper, NVIDIA Parakeet with CUDA GPU acceleration) or connects to cloud providers (Gemini, Groq, OpenAI, Hugging Face, Custom API). 100% Free & Open Source (AGPL-3.0) — no subscriptions, paywalls, telemetry, or advertisements.