Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
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Updated
Sep 30, 2026 - Python
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
Gradio based tool to run opensource LLM models directly from Huggingface
A practical lab for exploring Apple's Core AI framework, model assets, specialization, and on-device inference.
Convert GGUF models into MLX-LM and mlx-vlm directories: adapter-based, fail-closed, no silent precision loss.
Automated converter for ONNX models (particularly ESRGAN) to RKNN format for Rockchip NPUs. Features include Docker-based conversion and GitHub Actions automation.
Convert PyTorch checkpoints, safetensors files and whole Hugging Face model folders to fp16, bf16, fp8 or ComfyUI fp8_scaled, int8_convrot and int8, turn FP8 models (DeepSeek, Qwen) back into BF16 on a CPU, merge or split sharded safetensors, and extract EMA weights, with one command and without loading the model into RAM.
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
A general-purpose ONNX β TFLite compiler built on MLIR, producing native TensorFlow Lite FlatBuffers.
Tests whether ML models preserve their behavior after conversion, quantization, or other transformations.
Serving YOLOv8 detection model with tf-serving
This project demonstrates how to download a model from Hugging Face, convert it to GGUF format, and upload it back to Hugging Face using a Colab notebook.
Transpile PyTorch modules to runnable JAX or MLX artifacts through ONNX, generating backend Python code and weights.
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
MLX Porting Toolkit β an agent-guided, evidence-gated pipeline (scaffold β convert β parity β benchmark) plus a portable skill for porting PyTorch/Hugging Face models to Apple MLX.
Convert ONNX models to Apple Core AI (.aimodel) for on-device inference on Apple silicon. 143 op lowerings, precision checks, Python API, CLI, and MCP.
UMC β The ffmpeg of AI models. Convert any model format to any other format (GGUF, ONNX, SafeTensors, CoreML, TensorRT...) without quality loss, at maximum speed, with mathematical proof. Built in Rust.
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