PyRank
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About

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.

2M 5K 781
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.

1.4M 956 100
lutzroeder
netron

Visualizer for neural network, deep learning and machine learning models

110K 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.

49K 9K 1K
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.

4K 272 43
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.

4K 344 38
ultralytics
ultralytics-yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

2K 57K 17K
ultralytics
yolov5-inference

code de inference yolov5

2K 57K 17K
DeepVAC
deepvac

PyTorch Project Specification.

1K 681 102
AbdoulayeSeydi
mlbuild

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

1K 2 0
ekhodzitsky
phostt

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

711 0 0
sym-bot
mesh-cognition

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

657 0 0
machineko
coreml-pytorch-utils

Coreml utils that helps export pytorch based models

528 2 0
prisma-ai
torch2coreml

Torch7 -> CoreML

484 385 54
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.

461 6K 957
hhsecond
ml2rt

Machine learning utilities for model conversion, serialization, loading etc

424 27 1
ModelPiper
pipersr

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

239 0 0
neuralize-ai
runlocal-hub

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

212 2 0
arguiot
neuron-ml

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

163 13 3
catboost
catboost-no-sse4

CatBoost Python Package

128 9K 1K
sym-bot
langchain-mesh-cognition

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

106 0 0
lutzroeder
wnetron

Visualizer for neural network, deep learning and machine learning models

55 33K 3K
    • Data from PyPI, GitHub, ClickHouse, and BigQuery