Fritz ExamplesA collection of experiences utilizing machine learning models from Fritz AI
Stars: ✭ 181 (+53.39%)
Mutual labels: coreml
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-83.05%)
Mutual labels: depth-prediction
MNIST-CoreMLPredict handwritten digits with CoreML
Stars: ✭ 63 (-46.61%)
Mutual labels: coreml
CoremltoolsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Stars: ✭ 2,483 (+2004.24%)
Mutual labels: coreml
KerasdeepspeechA Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Stars: ✭ 245 (+107.63%)
Mutual labels: coreml
DiverseDepthThe code and data of DiverseDepth
Stars: ✭ 150 (+27.12%)
Mutual labels: depth-prediction
Coreml Survival GuideSource code for the book Core ML Survival Guide
Stars: ✭ 168 (+42.37%)
Mutual labels: coreml
mlmodelzooBuild your iOS 11+ apps with the ready-to-use Core ML models below
Stars: ✭ 17 (-85.59%)
Mutual labels: coreml
SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Stars: ✭ 162 (+37.29%)
Mutual labels: depth-prediction
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+1307.63%)
Mutual labels: depth-prediction
NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+14470.34%)
Mutual labels: coreml
Swiftopenposetf-openpose Based iOS Project
Stars: ✭ 215 (+82.2%)
Mutual labels: coreml
awesome-ml-demos-with-iosThe challenge projects for Inferencing machine learning models on iOS
Stars: ✭ 1,040 (+781.36%)
Mutual labels: coreml
Programming Language ClassifierAn example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text
Stars: ✭ 172 (+45.76%)
Mutual labels: coreml
MVSNet plMVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
Stars: ✭ 49 (-58.47%)
Mutual labels: depth-prediction
createml-playgroundsCreate ML playgrounds for building machine learning models. For developers and data scientists.
Stars: ✭ 82 (-30.51%)
Mutual labels: coreml
List-CoreML-ModelsA Big Awesome List CoreML Models.
Stars: ✭ 120 (+1.69%)
Mutual labels: coreml
adareg-monodispnetRepository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
Stars: ✭ 22 (-81.36%)
Mutual labels: depth-prediction