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.

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.

ultralytics-yolov5

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

polyvoice

Speaker diarization for Rust — who spoke when. ONNX-powered: Silero VAD, WeSpeaker embeddings, Pyannote segmentation, K-means/AHC clustering, overlap detection. Python bindings & CLI included.

aneforge

Pythonic binding to the Apple Neural Engine

coreai-catalog

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

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.

mlbuild

Performance CI/CD for on-device ML models — catch inference regressions before they ship

yolov5-inference

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

onnx2coreml

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

deepvac

PyTorch Project Specification.

mmdnn

Deep learning model converter, visualization and editor.

phostt

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

coreml-pytorch-utils

Coreml Utils for torch based models

torch2coreml

Torch7 -> CoreML

ml2rt

Machine learning utilities for model conversion, serialization, loading etc

runlocal-hub

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

pipersr

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

mesh-cognition

Python coupling kernel for Mesh Cognition — per-field admission and state blending for CfC neural networks. Canonical home: meshcognition.org

catboost-no-sse4

CatBoost Python Package