CLIP
openai
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OPENAGENTSKILL / DIRECTORY
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Results: 83
openai
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
codelucas
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
PaddlePaddle
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System,…
mholt
Fast and powerful CSV (delimited text) parser that gracefully handles large files and malformed input
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
pbek
QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
gsantner
Text editor - Notes & ToDo (for Android) - Markdown, todo.txt, plaintext, math, ..
orientechnologies
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi…
yifanfeng97
Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.
FurkanGozukara
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guid…
Canner
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…
espanso
A Privacy-first, Cross-platform Text Expander written in Rust
oramasearch
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
dataease
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
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