MNIST-CoreML-Training
MNIST trainer
A demo project to train an ML model on the MNIST dataset using CoreML and SwiftCoreMLTools
Training MNIST with CoreML on Device
157 stars
6 watching
30 forks
Language: Jupyter Notebook
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| jacopomangiavacchi/coreml-transferlearning-demo | A demonstration project of using CoreML and S4TF for transfer learning with multi-input data and embedding layers in Swift. | 12 |
| jacopomangiavacchi/swiftcoremltools | A Swift library for creating and exporting CoreML models in Swift. | 161 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |
 ardanlabs/training-ai | Provides training materials and tools for building machine learning applications | 72 |
 0xzkml/zk-mnist | A demo project that integrates machine learning and zero-knowledge proof verification in a web application using TypeScript. | 119 |
 microsoft/mpnet | Develops a method for pre-training language understanding models by combining masked and permuted techniques, and provides code for implementation and fine-tuning. | 288 |
 jacopotagliabue/mlsys-nyu-2022 | Teaching materials and resources for a Machine Learning course in finance at NYU Tandon | 367 |
 johnstonskj/rml-core | A Racket module for managing machine learning datasets and providing interfaces to various classification algorithms. | 13 |
 codingtrain/machine-learning | A collection of resources and examples around machine learning for education and development | 955 |
 gmonce/scikit-learn-book | Source code and data for a machine learning book with Python tutorials | 393 |
 moses-smt/nplm | A toolkit for training neural network language models | 14 |
 wyy-123-xyy/ra-fed | A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs | 6 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 jgreenemi/parris | Automates the setup and training of machine learning algorithms on remote servers | 316 |
 volcengine/vescale | A PyTorch-based framework for training large language models in parallel on multiple devices | 663 |