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real time face swap and one-click video deepfake with only a single image
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
GoMate:RAG Framework within Reliable input,Trusted output
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt,Language of GPT, 结构化提示词,结构化Prompt
YOLOv10: Real-Time End-to-End Object Detection
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier
CoreNet: A library for training deep neural networks
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
A library for efficient similarity search and clustering of dense vectors.
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Code examples and resources for DBRX, a large language model developed by Databricks
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Open-Sora: Democratizing Efficient Video Production for All
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment