๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Direktori skill
Temukan skill yang dapat digunakan kembali untuk AI agents.
Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.
Hasil pencarian: foundation-models
Direktori bahasa InggrisFULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
A lightweight coding agent for open models like Deepseek, Kimi, and Qwen
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents ๐
๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Visualizer for neural network, deep learning and machine learning models
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.