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.
OpenMOSS / MOSS-Image
EpicRealmTitle / call-of-duty-modern-warfare-4-fps-optimizer
Lightweight desktop tool for Call of Duty: Modern Warfare 4. Smart FPS optimization, performance tuning, process management and real-time monitoring. Designed to improve frame rates and stability. Regularly updated.
unslothai / unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
MakazhanAlpamys / Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
marcus-moorelab91a4 / fps-optimizer-rust
Rust-based FPS optimizer for games: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets. Lightweight, reversible, open-source performance tool for Windows.
nickn-eng1989k7 / Fortnite-FPS-Booster-Frame-Rate-Latency-Tuning-for-Windows
Fortnite FPS Booster: frame-rate stability, lower input latency, process priority tuning, memory cleanup and power-plan presets for Fortnite on Windows. Lightweight, reversible, open-source performance optimizer.
hiyouga / LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
ostris / ai-toolkit
The ultimate training toolkit for finetuning diffusion models
run-llama / llama_index
LlamaIndex is the document processing platform for AI
axolotl-ai-cloud / axolotl
Go ahead and axolotl questions
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]
facebookresearch / sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
huggingface / peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Kiln-AI / Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
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
datamllab / OpenEBFM
Open-source code for training and scaling up energy-based foundation models.
bunkerity / bunkerweb
🛡️ Open-source and cloud-native Web Application Firewall (WAF)
datajuicer / data-juicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
remsky / Kokoro-FastAPI
Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, optional readalong web UI
whitecircle / halo
Halo is an open-source framework built by White Circle for training large language and multimodal models
X-GenGroup / Flow-Factory
A unified framework for easy fine-tuning in Flow-Matching models
bentoml / OpenLLM
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
skypilot-org / skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
h2oai / h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
urchade / GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
NVIDIA / physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
bghira / SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
NVIDIA-NeMo / Automodel
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
overmind-core / overmind
The platform for continuously improving AI agents.
ludwig-ai / ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
oumi-ai / oumi
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Blaizzy / mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
kyegomez / tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Nerogar / OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
tiangolo / uvicorn-gunicorn-fastapi-docker
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
intel / neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
roboflow / maestro
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
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
AI-Hypercomputer / maxtext
A simple, performant, and scalable Jax LLM!
microsoft / Olive
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
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.
cfregly / ai-performance-engineering
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
NVIDIA-NeMo / Curator
Scalable data pre processing and curation toolkit for LLMs
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
lightly-ai / lightly-train
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
kubeflow / katib
Automated Machine Learning on Kubernetes
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
nolabs-ai / deepfabric
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
torchgeo / terratorch
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
DaoyuanLi2816 / can-i-finetune-this
Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
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).
qdrant / quaterion
Blazing fast framework for fine-tuning similarity learning models
mlcommons / ck
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
tiangolo / uvicorn-gunicorn-docker
Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
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.