SimpleTuner
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
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Results: 113
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
thu-ml
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
peremartra
Practical course about Large Language Models.
nvidia-cosmos
Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the…
PrunaAI
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
pytorch
Datasets, Transforms and Models specific to Computer Vision
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
unslothai
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
xtekky
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
openinterpreter
A lightweight coding agent for open models like Deepseek, Kimi, and Qwen
lutzroeder
Visualizer for neural network, deep learning and machine learning models
invoke-ai
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest…
mlflow
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 A…
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
tjboudreaux
28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools
tensorflow
A WebGL accelerated JavaScript library for training and deploying ML models.