Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
A torch implementation of http://arxiv.org/abs/1511.06434
Example models using DeepSpeed
Dense Prediction Transformers
Franka panda mujoco models
High-Level Motion Library for the Franka Panda Robot
Simple C++ geometry processing library.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
Convert Blender Geometry Nodes to a Python add-on
blender based random procedural object generation for bullet grasping
Seamless integration of Blender into pytorch data sources
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
SurfEmb (CVPR 2022)
Datasets, Transforms and Models specific to Computer Vision