Coreml Python Packages

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

onnx2tf

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

netron

Visualizer for neural network, deep learning and machine learning models

catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

lucid-dl

Lumerico's Comprehensive Interface for Deep Learning

openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

laya-apple

Correctness-validated heterogeneous Laya runtime for Apple Silicon (MLX GPU + Apple Neural Engine)

laya-coreml

Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.

polyvoice

CPU speaker diarization with native INT8 kernels. Rust, CLI, Python and C interfaces; no ONNX Runtime in the core.

ultralytics-yolov5

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

tflite2tensorflow

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

eeane

Run text embedding and reranking models on the Apple Neural Engine of Apple Silicon Macs. OpenAI-compatible server; ModernBERT, BERT, and XLM-RoBERTa.

coreyolo

Object detector for Core ML on Apple silicon. Code MIT; weights per checkpoint. Not affiliated with Ultralytics.

deepvac

PyTorch Project Specification.

aneforge

Python runtime for the Apple Neural Engine

coreai-catalog

Source-grounded registry of Apple Core AI models, artifacts, upstreams, benchmarks, and provenance.

loudkit

Local text-to-speech: 28 voices, 10 languages, voice cloning, SDKs for Python, Swift, Go, Rust and TypeScript

pipersr

First super-resolution model designed for Apple Neural Engine. 2x upscale, real-time, on-device. Built by Ben Racicot.

runlocal-hub

Python client for benchmarking and validating ML models on real devices via RunLocal API.

onnx2coreml

Convert ONNX models to Apple Core ML (.mlpackage / .mlmodel) with numerical-parity verification against ONNX Runtime.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

ml2rt

Machine learning utilities for model conversion, serialization, loading etc

phostt

Local Vietnamese STT server powered by Zipformer-vi RNN-T