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OpenMOSS / MOSS-Image

Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.

▲ 1.2k/7d ★ 1.3k Python 2d ago
justxor / deepseek-local-guide-ru

🐋 Полный гайд на русском: как установить и запустить DeepSeek локально (V4, R1) на ПК, Mac и сервере — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, агенты, fine-tuning, лучшие фишки

▲ 125/7d ★ 133 Shell 5d ago
unslothai / unsloth

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

▲ ~119/7d ★ 78k Python today
MakazhanAlpamys / Soup

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

▲ ~119/7d ★ 9.5k Python 1d ago
roboflow / rf-detr

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

▲ ~42/7d ★ 9.9k Python today
NVIDIA-NeMo / Nemotron

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

▲ ~40/7d ★ 2.2k Jupyter Notebook 🔥 1d ago
huggingface / peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

▲ ~28/7d ★ 22k Python 1d ago
Kiln-AI / Kiln

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

▲ ~28/7d ★ 5.2k Python today
shootthesound / Fizgig

Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models

▲ ~28/7d ★ 590 Python today
datamllab / OpenEBFM

Open-source code for training and scaling up energy-based foundation models.

▲ ~21/7d ★ 124 Python 5d ago
AIDotNet / OpenDeepWiki

OpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.

▲ ~14/7d ★ 3.6k C# 12d ago
whitecircle / halo

Halo is an open-source framework built by White Circle for training large language and multimodal models

▲ ~14/7d ★ 833 Python 2d ago
tetherto / qvac

Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more. Cross-platform: Linux, macOS, Windows, Android, iOS.

▲ ~14/7d ★ 704 TypeScript today
Fazmin / AILearningGuide

Interactive desktop app with 51 labs covering ML fundamentals, transformers, RAG, agents, fine-tuning and quantization and more.

▲ ~14/7d ★ 225 TypeScript 1d ago
bentoml / OpenLLM

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

▲ ~7/7d ★ 13k Python 2d ago
unslothai / notebooks

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

▲ ~7/7d ★ 5.7k Jupyter Notebook 3d ago
h2oai / h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

▲ ~7/7d ★ 5.2k Python 5d ago
NVIDIA / physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

▲ ~7/7d ★ 3.4k Python today
bghira / SimpleTuner

A general fine-tuning kit geared toward image/video/audio diffusion models.

▲ ~7/7d ★ 2.9k Python today
pykeio / ort

Fast ML inference & training for ONNX models in Rust

▲ ~7/7d ★ 2.6k Rust 3d ago
datawhalechina / base-llm

从 NLP 到 LLM 的算法全栈教程,在线阅读地址:https://datawhalechina.github.io/base-llm/

▲ ~7/7d ★ 1.1k Jupyter Notebook 22d ago
amitshekhariitbhu / ai-engineering-course

AI Engineering Course - A free and complete AI Engineering Course to learn AI Engineering step by step - from Machine Learning, Neural Networks, and Transformers to LLMs, Fine-Tuning, RAG, AI Agents, LLM Inference, Evaluation, AI Safety, and AI System Design.

▲ ~7/7d ★ 548 Markdown today
modelscope / ms-cookbook

魔搭紫皮书|ModelScope Cookbook:面向开发者的开源模型应用实战指南,覆盖模型选型、推理、微调、评测、RAG、Agent 与 AIGC,从跑通第一个模型到构建实际应用。

▲ ~7/7d ★ 503 HTML 6d ago
ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

▲ ~0/7d ★ 12k Python 2d ago
oumi-ai / oumi

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

▲ ~0/7d ★ 9.4k Python today
Blaizzy / mlx-vlm

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

▲ ~0/7d ★ 5.6k Python today
Sophia-Community / SophiApp

:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11

▲ ~0/7d ★ 5.2k C# 3d ago
Nerogar / OneTrainer

OneTrainer is a one-stop solution for all your Diffusion training needs.

▲ ~0/7d ★ 3.2k Python 3d ago
roboflow / maestro

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

▲ ~0/7d ★ 2.7k Python 3d ago
stochasticai / xTuring

Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

▲ ~0/7d ★ 2.7k Python 1d ago
dstackai / dstack

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

▲ ~0/7d ★ 2.3k Python 1d ago
kubeflow / trainer

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

▲ ~0/7d ★ 2.3k Go 1d ago
beam-cloud / beta9

Ultrafast serverless GPU inference, sandboxes, and background jobs

▲ ~0/7d ★ 1.8k Go 1d ago
bespokelabsai / curator

Synthetic data curation for post-training and structured data extraction

▲ ~0/7d ★ 1.7k Python 9d ago
lightly-ai / lightly-train

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

▲ ~0/7d ★ 1.7k Python 10d ago
curiousily / AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

▲ ~0/7d ★ 956 Jupyter Notebook 11d ago
nolabs-ai / deepfabric

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

▲ ~0/7d ★ 891 Python 3d ago
torchgeo / terratorch

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

▲ ~0/7d ★ 875 Python 7d ago
agentscope-ai / Trinity-RFT

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

▲ ~0/7d ★ 710 Python 14d ago
calmrocks / ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

▲ ~0/7d ★ 708 Jupyter Notebook 14d ago
qdrant / quaterion

Blazing fast framework for fine-tuning similarity learning models

▲ ~0/7d ★ 665 Python 17d ago
lukaszliniewicz / Pandrator

Turn PDFs and EPUBs into audiobooks; subtitles or videos into dubbed videos (including translation), and more. For free. Pandrator uses local models, including voice-cloning (instant, RVC-enhanced, XTTS fine-tuning) and LLM processing. It aspires to be a user-friendly app with a GUI, an installer and all-in-one packages.

▲ ~0/7d ★ 637 Python 4d ago
OpenMOSS / EasyWAM

A unified framework for training, fine-tuning, and evaluating World Action Models

▲ ~0/7d ★ 374 Python 4d ago
zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

▲ ~0/7d ★ 317 Jupyter Notebook 2mo ago
POInfra-AI / POInfra

Policy Optimization for Generative Models: diffusion and flow policies, online fine-tuning, and inference-time guidance and planning.

▲ ~0/7d ★ 92 21d ago
Zhengsw03 / RL-Token-Pi05-open

RL Token pipeline for the SO-101 arm: π0.5 fine-tuning, RL Token training, critical-phase classifier, online RL and deployment.

▲ ~0/7d ★ 78 Python 24d ago

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