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Coreml Python Packages

Python packages with the GitHub topic coreml. Sorted by relevance, with stars and monthly downloads.
catboost
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.

6.4M 9K 1K
apple
coremltools

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

1.8M 5K 778
PINTO0309
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.

1.5M 953 99
lutzroeder
netron

Visualizer for neural network, deep learning and machine learning models

102K 33K 3K
catboost
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.

51K 9K 1K
PINTO0309
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.

9K 344 38
PINTO0309
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.

5K 273 43
ultralytics
ultralytics-yolov5

No description available

1K 57K 17K
DeepVAC
deepvac

PyTorch Project Specification.

1K 682 102
ultralytics
yolov5-inference

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

1K 57K 17K
AbdoulayeSeydi
mlbuild

MLBuild enforces inference performance SLAs in CI, automatically blocking slow ML models before they reach production.

996 2 0
sym-bot
mesh-cognition

Python coupling kernel for Mesh Cognition — per-field admission and state blending for CfC neural networks

661 0 0
Microsoft
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.

509 6K 957
hhsecond
ml2rt

Machine learning utilities for model conversion, serialization, loading etc

427 27 1
prisma-ai
torch2coreml

Torch7 -> CoreML

357 385 54
machineko
coreml-pytorch-utils

Coreml Utils for torch based models

335 2 0
neuralize-ai
runlocal-hub

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

269 2 0
ModelPiper
pipersr

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

159 0 0
arguiot
neuron-ml

A tiny and very high level transfer learning library for image classification 📚

130 13 3
sym-bot
langchain-mesh-cognition

LangChain integration for Mesh Cognition — give any agent distributed memory across devices

113 0 0
catboost
catboost-no-sse4

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.

106 9K 1K
lutzroeder
wnetron

Visualizer for neural network, deep learning and machine learning models

44 33K 3K
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