MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Enterprise VPN server
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
💫 Ngrok FRP Alternative • ⚡ Fast • 🪶 Lightweight • 0️⃣ Dependency • 🔌 Pluggable • 😈 TLS interception • 🔒 DNS-over-HTTPS • 🔥 Poor Man's VPN • ⏪ Reverse & ⏩ Forward • 👮🏿 "Proxy Server" framework • 🌐 "Web Server" framework • ➵ ➶ ➷ ➠ "PubSub" framework • 👷 "Work" acceptor & executor framework
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
OneTrainer is a one-stop solution for all your Diffusion training needs.
A fast yet powerful Python Markdown parser with renderers and plugins.
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
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
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
A simple, performant, and scalable Jax LLM!
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
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.
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
Scalable data pre processing and curation toolkit for LLMs
Synthetic data curation for post-training and structured data extraction
Microsoft 365 & Microsoft Graph Library for Python
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Automated Machine Learning on Kubernetes
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.
SSH tunnels to remote server.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
User-friendly, cross-platform SSH connection manager
OWASP Web Recon & Directory Discovery Platform
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
Examples for https://github.com/optuna/optuna
Scale LLM Engine public repository
Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.
Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
Bulk-generate iCloud Hide My Email addresses. Native macOS app and cross-platform CLI with batch generation, scheduling, a local inbox with code extraction, as well as iCloud China support.
KaliGPT: an Agentic AI (built with Gemini, ChatGPT, Ollama, OpenRouter Models) fine tuned for ethical hackers & students in offensive security making workflows smarter, faster, and more accessible.
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
Automated modeling and machine learning framework FEDOT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
Blazing fast framework for fine-tuning similarity learning models
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.
Local natural-language-to-shell command generator. A 941 MB fine-tuned Qwen2.5-Coder-1.5B running on CPU in ~1s.
Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
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.
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
Extract files from Apple devices on Windows, Linux and MacOS. Mostly a wrapper for pymobiledevice3. Creates iTunes-style backups and "advanced logical backups"
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
Python library for CMA Evolution Strategy.
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...
A unified framework for training, fine-tuning, and evaluating World Action Models
A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.
Open-weight, Jev-inspired decision model finetuned on top of Qwen3.5 4B
Performance-tuned llama.cpp for AMD Strix Halo (gfx1151): FA + MoE-prefill fixes with a bundled current Mesa driver. Vulkan and HIP; portable dir, Docker, and distrobox.
An intuitive console agent to fine-tune AI models with little to no experience required!
FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.
Open Jev implementation with custom finetuning
ComfyUI nodes for Viggle-Animate minimax H3 finetune