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Data annotation toolbox supports image, audio and video data.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
how to optimize some algorithm in cuda.
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
Generate comic panels using a LLM SDXL. Powered by Hugging Face 🤗
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Step-by-step optimization of CUDA SGEMM
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
Python SDK, Proxy Server (LLM Gateway) to call 100 LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
ALCF Computational Performance Workshop
SoftVC VITS Singing Voice Conversion
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
Streamlit — A faster way to build and share data apps.
Powerful yet simple to use screenshot software 🖥️ 📸
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
能够解出来的“羊了个羊”小游戏demo（react实现，支持自定义主题）
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)