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Resources access for mobile (android & ios) Kotlin Multiplatform development
A Kotlin Multiplatform library for building network-resilient applications
🛸 A pragmatic navigation library for Jetpack Compose
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Development environment for Android Jetpack extension libraries under the androidx namespace. Synchronized with Android Jetpack's primary development branch on AOSP.
Koin Annotations - About Koin - a pragmatic lightweight dependency injection framework for Kotlin & Kotlin Multiplatform insert-koin.io
Koin - a pragmatic lightweight dependency injection framework for Kotlin & Kotlin Multiplatform
An awesome list that curates the best Kotlin Multiplatform libraries, tools and more.
⚡️ A Compose-driven architecture for Kotlin and Android applications.
Transforms a Vector Drawable or a SVG path to a Compose ImageVector.
This app demonstrates the best practices for Android development and contains a repository of tutorials, benchmarks and reference implementations
Annotation processing library for type-safe Jetpack Compose navigation with no boilerplate.
A fully functional Android app built entirely with Kotlin and Jetpack Compose
💎 Android application following best practices: Kotlin, Coroutines, JetPack, Clean Architecture, Feature Modules, Tests, MVVM, DI, Static Analysis...
Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020
[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
Collection of Papers in Trajectory Prediction categorised according to the high-level structure
Layer-wise Relevance Propagation (LRP) for LSTMs.
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Data and Code for "Scene-LSTM: A model for human trajectory prediction" (ISVC 2019)
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020